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Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. (arXiv:2207.14638v1 [cs.DB])
Aug. 1, 2022, 1:10 a.m. | Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel-Yablowitz, Danny Eytan, Joachim A. Behar
cs.LG updates on arXiv.org arxiv.org
A datathon is a time-constrained competition involving data science applied
to a specific problem. In the past decade, datathons have been shown to be a
valuable bridge between fields and expertise . Biomedical data analysis
represents a challenging area requiring collaboration between engineers,
biologists and physicians to gain a better understanding of patient physiology
and of guide decision processes for diagnosis, prognosis and therapeutic
interventions to improve care practice. Here, we reflect on the outcomes of an
event that we …
arxiv building event healthcare learning machine machine learning technion trust
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