ACM Conference on
Health, Inference, and Learning


The ACM Conference on Health, Inference, and Learning (CHIL), targets a cross-disciplinary representation of clinicians and researchers (from industry and academia) in machine learning, health policy, causality, fairness, and other related areas.

ACM CHIL 2020 builds on the success of the ML4H Unconference, held in Toronto, and the Machine Learning for Health Workshop at NeurIPS, held in Vancouver. The conference is designed to spark insight-driven discussions on new and emerging ideas that may lead to collaboration and discussion.

Conference Timeline

Double blind peer reviews will be conducted to determine acceptance at the end of January 2020. The proceedings are planned to appear in the ACM Digital Library under the SIG CHIL designation.

Contact Information