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Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU

Computer Science

Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU

H. Hamdan, R. Yaakob, et al.

This research by Hazlina Hamdan, Razali Yaakob, Ting Deng, and Khairul Azhar Kasmiran presents a breakthrough in predicting in-hospital mortality through a novel personalized federated learning approach called POLA. Discover how POLA enhances prediction accuracy while minimizing communication time in multi-center ICU settings.

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~3 min • Beginner • English
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