How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event

Jonathan Sobel, Ronit Almog, Leo Celi, Michal Yablowitz, Danny Eytan, Joachim Behar

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numbere100736
JournalBMJ Health and Care Informatics
Issue number1
StatePublished - 11 Sep 2023
Externally publishedYes

Bibliographical note

Funding Information:
We acknowledge the financial support of the Technion-Rambam Initiative in Artificial Intelligence in Medicine (TERA), the Technion Machine Learning and Intelligent Systems (MLIS) Center, the Technion Human Health Initiative (THHI) and the MISTI MIT - Israel Zuckerman STEM Fund. This research was partially supported by The Milner Foundation, founded by Yuri Milner and his wife Julia. We are grateful to the Placide Nicod Foundation for their financial support (J.S.). We are grateful to the medical and technical staff from the IT and epidemiology departments at Rambam HCC. We are thankful to the Technion administrative staff for supporting the organization and communication of the event.


  • Artificial intelligence
  • Delivery of Health Care
  • Electronic Health Records

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Computer Science Applications

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