SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

Chengxi Zang, Fei Wang

Contrastive learning has demonstrated promising performance in image and text domains either in a self-supervised or a supervised manner. In this work, we extend the supervised con…