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

TY - JOUR

T1 - How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event

AU - Sobel, Jonathan

AU - Almog, Ronit

AU - Celi, Leo

AU - Yablowitz, Michal

AU - Eytan, Danny

AU - Behar, Joachim

N1 - 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.

PY - 2023/9/11

Y1 - 2023/9/11

KW - Artificial intelligence

KW - Delivery of Health Care

KW - Electronic Health Records

UR - http://www.scopus.com/inward/record.url?scp=85170631780&partnerID=8YFLogxK

U2 - 10.1136/bmjhci-2023-100736

DO - 10.1136/bmjhci-2023-100736

M3 - Article

C2 - 37696642

AN - SCOPUS:85170631780

SN - 2058-4555

VL - 30

JO - BMJ Health and Care Informatics

JF - BMJ Health and Care Informatics

IS - 1

M1 - e100736

ER -