nakashima takahiro 中島啓裕

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Nakashima Takahiro 中島啓裕

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Researcher Number	50796141
Other IDs	https://orcid.org/0000-0001-6369-6154
Affiliation (Current)	2025: 熊本大学, 病院, 特任講師 2025: 国立研究開発法人国立循環器病研究センター, 研究所, 客員研究員
Affiliation (based on the past Project Information) *help	2020 – 2023: 国立研究開発法人国立循環器病研究センター, 研究所, 客員研究員
Review Section/Research Field	Principal Investigator Basic Section 55060:Emergency medicine-related
Keywords	Principal Investigator 人工知能 / 気象データ / 気象情報 / 院外心停止 / 予測モデル / 機械学習

Research Projects
(1 results)
Research Products
(3 results)

A novel machine learning model for predicting the incidence of out-of-hospital cardiac arrest using weather dataPrincipal Investigator
- Principal Investigator
  
  Nakashima Takahiro
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 55060:Emergency medicine-related
- Research Institution
  National Cardiovascular Center Research Institute

All Journal Article Presentation

[Journal Article] A machine learning model for predicting out-of-hospital cardiac arrest incidence using meteorological, chronological, and geographical data from the United States2023
- Author(s)
  Nakashima Takahiro、Ogata Soshiro、Kiyoshige Eri、Al-Hamdan Mohammad Z、Wang Yifan、Noguchi Teruo、Shields Theresa A、Al-Araji Rabab、McNally Bryan、Nishimura Kunihiro、Neumar Robert W
- Journal Title
  
  medRxiv
  
  Volume: preprint
- DOI
  10.1101/2023.05.08.23289698
- Data Source
  KAKENHI-PROJECT-20K17914
[Journal Article] A machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data2021
- Author(s)
  Takahiro Nakashima, Soshiro Ogata, Teruo Noguchi, Yoshio Tahara, Daisuke Onozuka, Satoshi Kato, Yoshiki Yamagata, Sunao Kojima, Taku Iwami, Tetsuya Sakamoto, Ken Nagao, Hiroshi Nonogi, Satoshi Yasuda, Koji Iihara, Robert W Neumar, and Kunihiro Nishimura
- Journal Title
  
  Heart
  
  Volume: - Issue: 13 Pages: 1084-1091
- DOI
  10.1136/heartjnl-2020-318726
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K17914, KAKENHI-PROJECT-20H03681
[Presentation] Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data2021
- Author(s)
  Takahiro Nakashima
- Organizer
  American Heart Association Resuscitation Science Symposium 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K17914