Machine learning for health: promises and methodological challenges | Webinar

Webinar QuanTIM - Gaël VAROQUAUX, Soda, Inria Saclay
Machine learning for health: promises and methodological challenges
Description:
With increasing health data is collected, machine learning seems a perfect tool to improve individuals' health. I will summarize what we have learning working on medical images and electronic records. Behind our prediction successes, we have been faced with the challenges of data preparation, of censored data and other biases, and of the need for causal inference.
Key words: machine learning, health, electronic health record, censoring, biases
November 2024
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