• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Kanda Eiichiro  神田 英一郎

ORCIDConnect your ORCID iD *help
Researcher Number 40401377
Other IDs
Affiliation (Current) 2026: 川崎医科大学, 医学部, 教授
Affiliation (based on the past Project Information) *help 2019 – 2024: 川崎医科大学, 医学部, 教授
Review Section/Research Field
Principal Investigator
Basic Section 53040:Nephrology-related
Except Principal Investigator
Basic Section 58080:Gerontological nursing and community health nursing-related / Basic Section 56040:Obstetrics and gynecology-related
Keywords
Principal Investigator
ビッグデータ / 自然言語処理 / ネットワーク / AI / 深層学習 / 透析 / 慢性腎臓病 / 末期腎不全 / リーマン多様体 / 微分 … More / ベクトル場 / データサイエンス / ベクトル空間 / 圏論 / 人工知能 / ICT / テキストマイニング / アンサンブルモデル / サポートベクターマシーン / 機械学習 … More
Except Principal Investigator
メンタルヘルス / 日常生活活動 / IADL / 高齢者 / ウエアラブル端末 / 心血管疾患 / 妊娠期 / 体組成 / 妊娠 / サルコペニア Less
  • Research Projects

    (4 results)
  • Research Products

    (87 results)
  • Co-Researchers

    (11 People)
  •  Investigation of the usefulness of wearable devices to ensure daily activities of the elderly.

    • Principal Investigator
      藤本 壮八
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 58080:Gerontological nursing and community health nursing-related
    • Research Institution
      Kawasaki Medical School
  •  妊娠期におけるサルコペニア肥満の臨床的意義に関する研究

    • Principal Investigator
      江川 真希子
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 56040:Obstetrics and gynecology-related
    • Research Institution
      Institute of Science Tokyo
      Tokyo Medical and Dental University
  •  Development of virtual network of medical terms of chronic kidney diseasePrincipal Investigator

    • Principal Investigator
      Kanda Eiichiro
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53040:Nephrology-related
    • Research Institution
      Kawasaki Medical School
  •  Development of network of chronic kidney disease related factors and therapeutic target using big data and artificial intelligence and information and communication technologyPrincipal Investigator

    • Principal Investigator
      Kanda Eiichiro
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53040:Nephrology-related
    • Research Institution
      Kawasaki Medical School

All 2025 2024 2023 2022 2021 2020 2019

All Journal Article Presentation Book Patent

  • [Book] step by stepで学ぶ 論文を「読む」ための医療統計2022

    • Author(s)
      神田 英一郎
    • Total Pages
      240
    • Publisher
      メジカルビュー社
    • ISBN
      4758309698
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Development of Artificial Intelligence Systems for Chronic Kidney Disease2025

    • Author(s)
      Eiichiro Kanda
    • Journal Title

      JMA Journal

      Volume: 8 Issue: 1 Pages: 48-56

    • DOI

      10.31662/jmaj.2024-0090

    • ISSN
      2433-328X, 2433-3298
    • Year and Date
      2025-01-15
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Efficacy and safety of intradialytic parenteral nutrition using ENEFLUID in malnourished patients receiving maintenance hemodialysis: An exploratory, multicenter, randomized, open-label study2024

    • Author(s)
      Kabasawa Hideyuki, Hosojima Michihiro, Kanda Eiichiro, Nagai Miho, Murayama Toshiko, Tani Miyuki, Kamoshita Satoru, Kuroda Akiyoshi, Kanno Yoshihiko
    • Journal Title

      PLOS ONE

      Volume: 19 Issue: 12 Pages: e0311671-e0311671

    • DOI

      10.1371/journal.pone.0311671

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] New marker for chronic kidney disease progression and mortality in medical-word virtual space2024

    • Author(s)
      Kanda Eiichiro, Epureanu Bogdan, Adachi Taiji, Sasaki Tamaki, Kashihara Naoki
    • Journal Title

      Scientific Reports

      Volume: 14 Issue: 1 Pages: 1661-1665

    • DOI

      10.1038/s41598-024-52235-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Baseline Characteristics of the DISCOVER CKD Prospective Cohort2024

    • Author(s)
      Pollock Carol, Carrero Juan-Jesus, Kanda Eiichiro, Ofori-Asenso Richard, Chen Hungta, Garcia Sanchez Juan Jose, Pentakota Surendra, Pecoits-Filho Roberto, Fishbane Steven, Lam Carolyn S. P., Kashihara Naoki, Wheeler David C.
    • Journal Title

      Advances in Therapy

      Volume: 42 Issue: 3 Pages: 1393-1418

    • DOI

      10.1007/s12325-024-03028-z

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Duration of sodium zirconium cyclosilicate treatment and continuation of RAASi therapy after a hyperkalaemia episode2024

    • Author(s)
      Pollack Charles V., Arroyo David, Kanda Eiichiro, Lzaro Ignacio Jos. Snchez, Lesn Eva, Franzn Stefan, Gray Christen M., Lipiska Anna, Murohara Toyoaki, Rastogi Anjay
    • Journal Title

      ESC Heart Failure

      Volume: 2024 Issue: 3 Pages: 1-10

    • DOI

      10.1002/ehf2.15171

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Hyperkalemia Burden and Treatment Pathways in Patients with CKD: Findings From the DISCOVER CKD Retrospective Cohort2024

    • Author(s)
      Fishbane Steven, Carrero Juan-Jesus, Kumar Supriya, Kanda Eiichiro, Hedman Katarina, Ofori-Asenso Richard, Kashihara Naoki, Kosiborod Mikhail N., Lainscak Mitja, Pollock Carol, Stenvinkel Peter, Wheeler David C., Pecoits-Filho Roberto
    • Journal Title

      Kidney360

      Volume: 5 Issue: 7 Pages: 974-986

    • DOI

      10.34067/kid.0000000000000468

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Association between proteinuria and mineral metabolism disorders in chronic kidney disease: the Japan chronic kidney disease database extension (J-CKD-DB-Ex)2024

    • Author(s)
      Shimamoto Sho, Nakahara Takako, Yamada Shunsuke, Nagasu Hajime, Kishi Seiji, Nakashima Naoki, Tsuruya Kazuhiko, Okada Hirokazu, Tamura Kouichi, Narita Ichiei, Maruyama Shoichi, Yano Yuichiro, Yokoo Takashi, Wada Takashi, Wada Jun, Kanda Eiichiro, Kataoka Hiromi, Nangaku Masaomi, Kashihara Naoki、Nakano Toshiaki
    • Journal Title

      Scientific Reports

      Volume: 14 Issue: 1 Pages: 1-9

    • DOI

      10.1038/s41598-024-79291-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346, KAKENHI-PROJECT-23K16295
  • [Journal Article] The Lived Experience of Patients With Chronic Kidney Disease: Insights From DISCOVER CKD2024

    • Author(s)
      Pollock Carol, Carrero Juan-Jesus, Kanda Eiichiro, Ofori-Asenso Richard, Palmer Ewelina, Niklasson Anna, Linder Andrew, Woodward Helen, Pentakota Surendra, Garcia Sanchez Juan Jose, Kashihara Naoki, Fishbane Steven, Pecoits-Filho Roberto, Wheeler David C.
    • Journal Title

      American Journal of Nephrology

      Volume: 55 Pages: 618-628

    • DOI

      10.1159/000541064

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Association between Timing of Vascular Access Creation and Mortality in Patients Initiating Hemodialysis: A Nationwide Cohort Study in Japan2024

    • Author(s)
      Murakami Minoru、Fujii Naohiko、Kanda Eiichiro、Kikuchi Kan、Wada Atsushi、Hamano Takayuki、Masakane Ikuto
    • Journal Title

      American Journal of Nephrology

      Volume: 55 Pages: 647-656

    • DOI

      10.1159/000541356

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] eGFR slope as a surrogate endpoint for clinical study in early stage of chronic kidney disease: from The Japan Chronic Kidney Disease Database2023

    • Author(s)
      Itano Seiji, Kanda Eiichiro, Nagasu Hajime, Nangaku Masaomi, Kashihara Naoki
    • Journal Title

      Clinical and Experimental Nephrology

      Volume: 27 Issue: 10 Pages: 847-856

    • DOI

      10.1007/s10157-023-02376-4

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Preoperative elevated eosinophils in peripheral blood for prediction of postoperative recurrence of chronic subdural hematoma2023

    • Author(s)
      Matsubara Maoki, Yagi Kenji, Minami Yukari, Kanda Eiichiro, Sunada Yoshihiro, Tao Yoshifumi, Takai Hiroki, Shikata Eiji, Hirai Satoshi, Matsubara Shunji, Uno Masaaki
    • Journal Title

      Journal of Neurosurgery

      Volume: 139 Issue: 3 Pages: 708-713

    • DOI

      10.3171/2022.12.jns222432

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Glucose‐lowering treatment pathways of individuals with chronic kidney disease and type 2 diabetes according to the Kidney Disease: Improving Global Outcomes 2012 risk classification2023

    • Author(s)
      Pollock Carol, Sanchez Juan Jose Garcia, Carrero Juan‐Jesus, Kumar Supriya, Pecoits‐Filho Roberto, Lam Carolyn S. P.、Chen Hungta, Kanda Eiichiro, Lainscak Mitja, Wheeler David C.
    • Journal Title

      Diabetic Medicine

      Volume: 41 Issue: 2 Pages: 15200-15205

    • DOI

      10.1111/dme.15200

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Effect of decreased platelets on postoperative recurrence of chronic subdural hematoma2023

    • Author(s)
      Yagi Kenji, Matsubara Maoki, Kanda Eiichiro, Minami Yukari, Hishikawa Tomohito
    • Journal Title

      Frontiers in Neurology

      Volume: 14 Pages: 1308991-1308995

    • DOI

      10.3389/fneur.2023.1308991

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality2023

    • Author(s)
      Kanda E, Epureanu B, Adachi T, Kashihara N.
    • Journal Title

      PLOS Digital Health

      Volume: 2 Issue: 1 Pages: e0000188-e0000188

    • DOI

      10.1371/journal.pdig.0000188

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346, KAKENHI-PROJECT-21H02937
  • [Journal Article] Number of Children and Risk of Cardiovascular Disease in Japanese Women: Findings from the Tohoku Medical Megabank2023

    • Author(s)
      Egawa Makiko, Kanda Eiichiro, Ohtsu Hiroshi, Nakamura Tomohiro, Yoshida Masayuki
    • Journal Title

      Journal of Atherosclerosis and Thrombosis

      Volume: 30 Issue: 2 Pages: 131-137

    • DOI

      10.5551/jat.63527

    • ISSN
      1340-3478, 1880-3873
    • Year and Date
      2023-02-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Effect of overweight/obesity and metabolic syndrome on frailty in middle‐aged and older Japanese adults2023

    • Author(s)
      Nishida Yuki, Yamada Yosuke, Sasaki Satoshi, Kanda Eiichiro, Kanno Yoshihiko, Anzai Tatsuhiko, Takahashi Kunihiko, Yamauchi Keita, Katsukawa Fuminori
    • Journal Title

      Obesity Science & Practice

      Volume: 10 Issue: 1 Pages: 714-720

    • DOI

      10.1002/osp4.714

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Immune checkpoint therapy and response biomarkers in non-small-cell lung cancer: Serum NY-ESO-1 and XAGE1 antibody as predictive and monitoring markers2023

    • Author(s)
      Kurose Koji、Sakaeda Kanako、Fukuda Minoru、Sakai Yumiko、Shimizu Katsuhiko、Tanaka Ryo、Hasegawa Takehiro、Atarashi Yusuke、Irino Yasuhiro、Sato Toshiyuki、Inoue Hiromasa、Hattori Noboru、Kanda Eiichiro、Nakata Masao、Mukae Hiroshi、Oga Toru、Oka Mikio
    • Journal Title

      Advances in Clinical Chemistry

      Volume: 112 Pages: 155-204

    • DOI

      10.1016/bs.acc.2022.09.004

    • ISBN
      9780443192845
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08247, KAKENHI-PROJECT-22K08346
  • [Journal Article] Clinical impact of suboptimal RAASi therapy following an episode of hyperkalemia2023

    • Author(s)
      Kanda Eiichiro, Rastogi Anjay, Murohara Toyoaki, Lesn Eva, Agiro Abiy, Arnold Matthew, Chen Gengshi, Yajima Toshitaka, Jrbrink Krister, Pollack Charles V.
    • Journal Title

      BMC Nephrology

      Volume: 24 Issue: 1 Pages: 18-24

    • DOI

      10.1186/s12882-022-03054-5

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Impact of chronic potassium binder treatment on the clinical outcomes in patients with hyperkalemia: Results of a nationwide hospital-based cohort study2023

    • Author(s)
      Kanda Eiichiro, Morita Naru, Yajima Toshitaka
    • Journal Title

      Frontiers in Physiology

      Volume: 14 Pages: 1156289-1156294

    • DOI

      10.3389/fphys.2023.1156289

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Multimorbidity patterns in the working age population with the top 10% medical cost from exhaustive insurance claims data of Japan Health Insurance Association2023

    • Author(s)
      Nishida Yuki, Anzai Tatsuhiko, Takahashi Kunihiko, Kozuma Takahide, Kanda Eiichiro, Yamauchi Keita, Katsukawa Fuminori
    • Journal Title

      PLOS ONE

      Volume: 18 Issue: 9 Pages: 291554-291560

    • DOI

      10.1371/journal.pone.0291554

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346, KAKENHI-PROJECT-23K21648
  • [Journal Article] Association of Four Types of Vascular Access Including Arterial Superficialization with Mortality in Maintenance Hemodialysis Patients: A Nationwide Cohort Study in Japan2023

    • Author(s)
      Murakami Minoru, Fujii Naohiko, Kanda Eiichiro, Kikuchi Kan, Wada Atsushi, Hamano Takayuki, Masakane Ikuto
    • Journal Title

      American Journal of Nephrology

      Volume: 54 Issue: 3-4 Pages: 83-94

    • DOI

      10.1159/000529991

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Machine Learning Models Predicting Cardiovascular and Renal Outcomes and Mortality in Patients with Hyperkalemia2022

    • Author(s)
      Kanda E, Okami S, Kohsaka S, Okada M, Ma X, Kimura T, Shirakawa K, Yajima T.
    • Journal Title

      Nutrients

      Volume: 14 Issue: 21 Pages: 4614-4614

    • DOI

      10.3390/nu14214614

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Performance Status Modifies the Association Between Vitamin D Receptor Activator and Mortality or Fracture: A Prospective Cohort Study on the Japanese Society for Dialysis Therapy (JSDT) Renal Data Registry2022

    • Author(s)
      Murashima M, Hamano T, Nishiyama T, Tsuruya K, Ogata S, Kanda E, Abe M, Masakane I, Nitta K.
    • Journal Title

      Journal of Bone and Mineral Research

      Volume: 37 Issue: 8 Pages: 1489-1499

    • DOI

      10.1002/jbmr.4621

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility2022

    • Author(s)
      James G, Garcia Sanchez JJ, Carrero JJ, Kumar S, Pecoits-Filho R, Heerspink HJL, Nolan S, Lam CSP, Chen H, Kanda E, Kashihara N, Arnold M, Kosiborod MN, Lainscak M, Pollock C, Wheeler DC.
    • Journal Title

      Kidney International Reports

      Volume: 7 Issue: 9 Pages: 2059-2070

    • DOI

      10.1016/j.ekir.2022.05.033

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346, KAKENHI-PROJECT-21H02937
  • [Journal Article] Machine learning models for prediction of HF and CKD development in early-stage type 2 diabetes patients2022

    • Author(s)
      Kanda E, Suzuki A, Makino M, Tsubota H, Kanemata S, Shirakawa K, Yajima T.
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1 Pages: 20012-20012

    • DOI

      10.1038/s41598-022-24562-2

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Routinely measured cardiac troponin I and N‐terminal pro‐B‐type natriuretic peptide as predictors of mortality in haemodialysis patients2022

    • Author(s)
      Eriguchi M, Tsuruya K, Lopes M, Bieber B, McCullough K, Pecoits‐Filho R, Robinson B, Pisoni R, Kanda E, Iseki K, Hirakata H.
    • Journal Title

      ESC Heart Failure

      Volume: 9 Issue: 2 Pages: 1138-1151

    • DOI

      10.1002/ehf2.13784

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Evaluation of maxillary and mandibular growth patterns with cephalometric analysis based on cervical vertebral maturation: A Japanese cross-sectional study.2022

    • Author(s)
      Manabe A, Ishida T, Kanda E, Ono T
    • Journal Title

      PLOS ONE

      Volume: 17 Issue: 4 Pages: e0265272-e0265272

    • DOI

      10.1371/journal.pone.0265272

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] Nutritional Management in CKD Patients (SY(T4)6)2022

    • Author(s)
      Kanda E.
    • Journal Title

      Journal of Nutritional Science and Vitaminology

      Volume: 68 Issue: Supplement Pages: S76-S77

    • DOI

      10.3177/jnsv.68.S76

    • ISSN
      0301-4800, 1881-7742
    • Year and Date
      2022-11-30
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Journal Article] AIを活用した慢性腎臓病・透析患者の予後予測2021

    • Author(s)
      神田英一郎
    • Journal Title

      腎臓内科

      Volume: 14 Pages: 451-458

    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] Association between anemia and mortality in hemodialysis patients is modified by the presence of diabetes2021

    • Author(s)
      Maruyama Y, Kanda E, Kikuchi K, Abe M, Masakane I, Yokoo T, Nitta K
    • Journal Title

      Journal of Nephrology

      Volume: 34 Issue: 3 Pages: 781-790

    • DOI

      10.1007/s40620-020-00879-x

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] High-performance dialyzers and mortality in maintenance hemodialysis patients2021

    • Author(s)
      Abe M, Masakane I, Wada A, Nakai S, Kanda E, Nitta K, Nakamoto H
    • Journal Title

      Scientific Reports

      Volume: 11 Issue: 1 Pages: 12272-12272

    • DOI

      10.1038/s41598-021-91751-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] デジタルヘルスケアの医療活用の取り組み 自然言語処理を用いたガイドライン作成支援システムの開発2021

    • Author(s)
      神田英一郎
    • Journal Title

      腎と透析

      Volume: 90 Pages: 205-211

    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] Methods and Nutritional Interventions to Improve the Nutritional Status of Dialysis Patients in JAPAN?A Narrative Review2021

    • Author(s)
      Kanno Y, Kanda E, Kato A
    • Journal Title

      Nutrients

      Volume: 13 Issue: 5 Pages: 1390-1390

    • DOI

      10.3390/nu13051390

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan2020

    • Author(s)
      Nakagawa Naoki、Sofue Tadashi、Kanda Eiichiro、Nagasu Hajime、Matsushita Kunihiro、Nangaku Masaomi、Maruyama Shoichi、Wada Takashi、Terada Yoshio、Yamagata Kunihiro、Narita Ichiei、Yanagita Motoko、Sugiyama Hitoshi、et al.
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1 Pages: 7351-7351

    • DOI

      10.1038/s41598-020-64123-z

    • NAID

      120006958093

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K08679, KAKENHI-PROJECT-19K08740
  • [Journal Article] Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan2020

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Tsuruta Y, Kikuchi K, Kashihara N, Abe M, Masakane I, Nitta K.
    • Journal Title

      PLOS ONE

      Volume: 15 Issue: 5 Pages: e0233491-e0233491

    • DOI

      10.1371/journal.pone.0233491

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Journal Article] Prevalences of hyperuricemia and electrolyte abnormalities in patients with chronic kidney disease in Japan: A nationwide, cross-sectional cohort study using data from the Japan Chronic Kidney Disease Database (J-CKD-DB)2020

    • Author(s)
      Sofue Tadashi、Nakagawa Naoki、Kanda Eiichiro、Nagasu Hajime、Matsushita Kunihiro、Nangaku Masaomi、Maruyama Shoichi、Wada Takashi、Terada Yoshio、Yamagata Kunihiro、Narita Ichiei、Yanagita Motoko、Sugiyama Hitoshi、et al.
    • Journal Title

      PLOS ONE

      Volume: 15 Issue: 10 Pages: e0240402-e0240402

    • DOI

      10.1371/journal.pone.0240402

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K08679, KAKENHI-PROJECT-19K08740
  • [Journal Article] Prevalence of anemia in patients with chronic kidney disease in Japan: A nationwide, cross-sectional cohort study using data from the Japan Chronic Kidney Disease Database (J-CKD-DB)2020

    • Author(s)
      Sofue Tadashi、Nakagawa Naoki、Kanda Eiichiro、Nagasu Hajime、Matsushita Kunihiro、Nangaku Masaomi、Maruyama Shoichi、Wada Takashi、Terada Yoshio、Yamagata Kunihiro、Narita Ichiei、Yanagita Motoko、Sugiyama Hitoshi、et al.
    • Journal Title

      PLOS ONE

      Volume: 15 Issue: 7 Pages: e0236132-e0236132

    • DOI

      10.1371/journal.pone.0236132

    • NAID

      120006888500

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K08679, KAKENHI-PROJECT-19K08740
  • [Patent] 文章検索システム、文章検索方法及び文章検索プログラム2020

    • Inventor(s)
      神田英一郎
    • Industrial Property Rights Holder
      神田英一郎
    • Industrial Property Rights Type
      特許
    • Filing Date
      2020
    • Acquisition Date
      2020
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Vector field model of chronic kidney disease stage enables accurate renal prognosis prediction.2024

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Kashihara N.
    • Organizer
      Society for Industrial and Applied Mathematics. Annual Meeting (AN24).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Vector Field Model of CKD Stage and Its Directional Derivative Mathematically Enable Accurate Kidney Prognosis Prediction.2024

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Sasaki T, Kashihara N.
    • Organizer
      Kidney Week American Society of Nephrology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Development of a prognostic risk score to predict early mortality in incident elderly Japanese hemodialysis patients.2024

    • Author(s)
      Okada H, Ono A, Sakai K, Narita I, Moriyama T, Isaka Y, Fukami K, Kanda E, Kashihara N.
    • Organizer
      Kidney Health In Aging and Aged Societies: JSN/ERA Symposium Collaboration with JSDT and WDA.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Information needs and emotional impact when receiving a diagnosis of chronic kidney disease: insights from DISCOVER CKD.2024

    • Author(s)
      Roberto Pecoits-Filho, Carol Pollock, Juan-Jesus Carrero, Eiichiro Kanda, Richard Ofori-Asenso, Ewelina Palmer, Helen Woodward, Andrew Linder, Surendra Pentakota, Juan Garcia Sanchez, Naoki Kashihara, Steven Fishbane, Carolyn Lam, and David C. Wheeler.
    • Organizer
      European Renal Association
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Natural Language Processing Artificial Intelligence Predicts CKD Progression in Medical-Word Virtual Space.2024

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Sasaki T, Kashihara N.
    • Organizer
      Kidney Week American Society of Nephrology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Contemporary Use of Guideline-Directed Medical Therapy and Associated Outcomes in Cardiorenal Patients with Hyperkalemia: An Observational Multi-Country Study2023

    • Author(s)
      Rastogi A., Pollack C., Sanchez-Lazaro I. J., Lesen E., Arnold M., Franzen S., Allum A., Murohara T., Kanda E.
    • Organizer
      American Society of Nephrology
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] CKDの医学概念と患者データを統合したCKD病態ネットワークの開発2023

    • Author(s)
      神田英一郎
    • Organizer
      第66回日本腎臓学会学術総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 論文でまなぶ臨床研究入門2023

    • Author(s)
      神田英一郎
    • Organizer
      腎臓リハビリテーション学会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] JRDRエビデンスに基づいた栄養管理2023

    • Author(s)
      神田英一郎
    • Organizer
      第68回日本透析医学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] New Era of Applied Artificial Intelligence in Nephrology.2023

    • Author(s)
      Kanda E.
    • Organizer
      World Congress of Nephrology
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Suboptimal Extent of RAASi Re-Initiation After Discontinuation Following Hyperkalemia: An Observational Study of Cardiorenal Patients in US and Japan.2023

    • Author(s)
      KANDA E., POLLACK C. V. JR., RASTOGI A., LESEN E., AGIRO A., ARNOLD M., CHEN G., MORITA N., JARBRINK K., MUROHARA T.
    • Organizer
      The 60th ERA Congress
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Nutrition control for elderly CKD patients.2023

    • Author(s)
      Kanda E.
    • Organizer
      The international workshop on Dietary Therapy for Chronic Kidney Disease
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 透析患者の予後予測モデルの開発2023

    • Author(s)
      15.神田英一郎
    • Organizer
      第68回日本透析医学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Association Between Reduced RAASi Therapy and Progression to ESKD in Hyperkalemic CKD Patients2023

    • Author(s)
      Rastogi A., Pollack C., Lesen E., Agiro A., Arnold M., Morita N., Jarbrink K., Murohara T., Kanda E.
    • Organizer
      American Society of Nephrology
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 各疾患ガイドラインのポイント2022

    • Author(s)
      神田英一郎
    • Organizer
      第44回日本臨床栄養学会総会・第43回日本臨床栄養協会総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 医学用語バーチャル空間におけるCKD患者の腎生命予後エンドポイントの開発2022

    • Author(s)
      神田英一郎, 佐々木環, 柏原直樹
    • Organizer
      第64回日本腎臓学会学術総会
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] New Surrogate Marker of Chronic Kidney Disease Progression and Mortality in Medical-Word Virtual Space: Prospective Cohort Study.2022

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Kashihara N.
    • Organizer
      Society for Industrial and Applied Mathematics. Mathematics of Data Science (MDS22).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 機械学習を活用した臨床研究の進め方2022

    • Author(s)
      神田英一郎
    • Organizer
      第67回日本透析医学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Fluid, Electrolyte, and Acid-Base Disorders: Clinical Persistent Reduction in RAASi Therapy Following an Episode of Hyperkalemia.2022

    • Author(s)
      Rastogi A, Kanda E, Murohara T, Agiro A, Khezrian M, Chen G, Morita N, Jarbrink K, Pollack CV.
    • Organizer
      American Society of Nephrology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] AIと腎臓 ~AIの基礎から診療の未来~2022

    • Author(s)
      神田英一郎
    • Organizer
      第57回日本小児腎臓病学会学術集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Machine-Learning Models to Predict CKD and HF in Type 2 Diabetes Patients.2022

    • Author(s)
      Tsubota H, Suzuki A, Makino M, Kanda E, Yajima T, Kidani Y, Morita N, Kanemata S.
    • Organizer
      American Diabetes Association
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] Fluid, Electrolyte, and Acid-Base Disorders: Clinical Impact of Chronic Potassium Binder Treatment on Clinical Outcome in Patients With Hyperkalemia: A Nationwide Hospital-Based Cohort Study.2022

    • Author(s)
      Kanda E, Kikuchi T, Morita N, Yajima T.
    • Organizer
      American Society of Nephrology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] AI・ICTを活用したCKD進行予測システムの開発2022

    • Author(s)
      神田英一郎
    • Organizer
      第2回日本人・血液浄化AI学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] New Surrogate Marker of CKD Progression and Mortality in Medical Word Virtual Space: Prospective Cohort Study.2022

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Kashihara N.
    • Organizer
      American Society of Nephrology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] AI・ICT を活用した CKD 進行予測システムの開発2022

    • Author(s)
      神田英一郎
    • Organizer
      第64回日本腎臓学会学術総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 腎透析領域でのAI活用を考える2022

    • Author(s)
      神田英一郎
    • Organizer
      第2回日本人・血液浄化AI学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] 医学領域におけるAIの今後の方向性2022

    • Author(s)
      神田英一郎
    • Organizer
      第67回日本透析医学会学術集会・総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K08346
  • [Presentation] AI・ICTを活用した透析患者の栄養管理2021

    • Author(s)
      神田英一郎
    • Organizer
      第59回日本人工臓器学会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] AI・ICTを活用したCKD患者管理システムの開発2021

    • Author(s)
      神田英一郎
    • Organizer
      第1回日本腎・血液浄化AI学会学術集会・総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] AI・ICTを活用したCKD患者管理システムの開発2021

    • Author(s)
      神田英一郎
    • Organizer
      第41回医療情報学連合大会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Usefulness of machine-learning-predicted probability as a new risk index for prediction of renal and life prognoses of chronic kidney disease2021

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Sasaki T, Kashihara N
    • Organizer
      Society for Industrial and Applied Mathematics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] 透析療法における遠隔診療のあり方 AI・ICTを活用した透析患者の栄養管理2021

    • Author(s)
      神田英一郎
    • Organizer
      第66回日本透析医学会学術集会・総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] CKD進行と生命予後を精緻に予測するAIシステムの開発2021

    • Author(s)
      神田英一郎, 安達泰治, 佐々木環, 柏原直樹
    • Organizer
      第64回日本腎臓学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Usefulness of machine-learning-predicted probability as a new risk index for prediction of renal and life prognoses of chronic kidney disease. Kidney Week 2021. American Society of Nephrology.2021

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Sasaki T, Kashihara N.
    • Organizer
      Kidney Week 2021. American Society of Nephrology.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] MACHINE LEARNING MODELS TO PREDICT CARDIOVASCULAR AND RENAL OUTCOMES AND MORTALITY IN HYPERKALEMIC PATIENTS.2021

    • Author(s)
      Kanda E, Okami S, Kohsaka S, Ma X, Okada M, Kimura T, Yajima T.
    • Organizer
      Kidney Week 2021. American Society of Nephrology.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Machine Learning Prediction of ESKD and Death in CKD Patients: Electronic Medical Record-Based Cohort Study.2020

    • Author(s)
      Kanda E, Tokuyama A, Itano S, Nagasu H, Kashihara N.
    • Organizer
      American Society of Nephrology Kidney week 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Explainable Artificial Intelligence System for Hemodialysis Patients Reveals Disease Background Difference2020

    • Author(s)
      Eiichiro Kanda, Bogdan I. Epureanu, Taiji Adachi, Yuki Tsuruta, Kan Kikuchi, Naoki Kashihara, Masanori Abe, Ikuto Masakane, Kosaku Nitta
    • Organizer
      2020 SIAM Conference on the Life Sciences
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] 大規模データベース解析の方向性と展開:CKD対策にどう活かすか 包括的慢性腎臓病データベース(J-CKD-DB)とリアルワールドデータベースの活用2020

    • Author(s)
      神田英一郎
    • Organizer
      第63回日本腎臓学会学術総会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] 保存期CKD患者に対するアルゴリズムを用いた新しい個別療養指導システムの開発2020

    • Author(s)
      坂井敦子, 市川和子, 神田英一郎
    • Organizer
      第63回日本腎臓学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Explainable artificial intelligence system for hemodialysis patients reveals disease background difference.2020

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Tsuruta Y, Kikuchi K, Kashihara N, Abe M, Masakane I, Nitta K.
    • Organizer
      American Society of Nephrology Kidney week 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] AIを用いたCKD患者の予後予測システムの開発と予後パターンの分類2020

    • Author(s)
      神田英一郎、徳山敦之、板野精之、長洲一、柏原直樹
    • Organizer
      第63回日本腎臓学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] AIを用いたCKD患者の予後予測システムの開発と予後パターンの分類2020

    • Author(s)
      神田英一郎, 徳山敦之, 板野精之, 長洲一, 柏原直樹.
    • Organizer
      第63回日本腎臓学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Explainable artificial intelligence system for hemodialysis patients reveals disease background difference.2020

    • Author(s)
      Kanda E, Epureanu BI, Adachi T, Tsuruta Y, Kikuchi K, Kashihara N, Abe M, Masakane I, Nitta K.
    • Organizer
      Society for Industrial and Applied Mathematics.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Effect of Zinc Deficiency on CKD Progression and Effect Modification by Hypoalbuminemia.2020

    • Author(s)
      Tokuyama A, Kanda E, Itano S, Kondo M, Wada Y, Kadoya H, Kidokoro K, Nagasu H, Sasaki T, Kashihara N.
    • Organizer
      American Society of Nephrology Kidney week 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Machine Learning Models for Risk Prediction of Adverse Events in Hyperkalemic Patients.2020

    • Author(s)
      Kanda E, Kohsaka S, Okami S, Okada M, Ma X, Yajima T.
    • Organizer
      American Society of Nephrology Kidney week 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Autonomous total-care system for hemodialysis patients using artificial intelligence: a nationwide dialysis cohort study in Japan2020

    • Author(s)
      Eiichiro Kanda, Yuki Tsuruta, Kan Kikuchi, Naoki Kashihara, Masanori Abe, Ikuto Masakane, Kosaku Nitta
    • Organizer
      第65回日本透析医学会学術集会・総会
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Development of an Automatic Risk-Prediction System for Hemodialysis Patients Using Artificial Intelligence: A Nationwide Dialysis Cohort Study in Japan2019

    • Author(s)
      Eiichiro Kanda, Yuki Tsuruta, Kan Kikuchi, Naoki Kashihara, Masanori Abe, Ikuto Masakane, Kosaku Nitta
    • Organizer
      American Society of Nephrology Kidney week 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • [Presentation] Development of an Exhaustive-Risk-Prediction System Using Deep Learning and Different Patterns of Diabetic Kidney Disease Progression Based on Patient Characteristics2019

    • Author(s)
      Eiichiro Kanda, Atsuyuki Tokuyama, Seiji Itano, Hajime Nagasu, Bogdan I. Epureanu, Naoki Kashihara
    • Organizer
      American Society of Nephrology Kidney week 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K08740
  • 1.  柏原 直樹 (10233701)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 14 results
  • 2.  江川 真希子 (00644212)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  宮坂 尚幸 (70313252)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  吉田 雅幸 (80282771)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  高橋 宏典 (80544303)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  藤本 壮八 (00319948)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  門利 知美 (10781552)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  脇本 敏裕 (90550898)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  OKA Mikio
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 10.  杉山 斉
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 3 results
  • 11.  黒瀬 浩史
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi