Machine learning for health: challenges and some progress
Gaël Varoquaux (INRIA)
| Quand ? |
Le 14/10/2024, de 11:00 à 12:00 |
|---|---|
| Où ? | Salle des Thèses |
| S'adresser à | Nelly Pustelnik |
| Participants |
Gaël Varoquaux |
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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.