The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data

no code implementations • 9 Aug 2018 • Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah

We present experiments that elucidate when multitask learning with neural nets improves performance for phenotyping using EHR data relative to neural nets trained for a single phenotype and to well-tuned logistic regression baselines.

Federated Survival Analysis with Discrete-Time Cox Models

no code implementations • 16 Jun 2020 • Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson

Building machine learning models from decentralized datasets located in different centers with federated learning (FL) is a promising approach to circumvent local data scarcity while preserving privacy.

Federated Learning Privacy Preserving +1