Machine Learning for Health (ML4H) brings together machine learning researchers, clinicians, and healthcare data experts. In this year's program, invited speakers and attendees will be able to discuss the utility and challenges of XAI as well as paths to practice for ML in healthcare. The two focus sessions are accompanied by keynotes (see all invited speakers here) as well as interactive research roundtables, two poster sessions, and datathon presentations. As usual, ML4H also publishes proceedings of accepted full papers in PMLR.
ML4H 2022 has concluded for this year. Thank you to all speakers, sponsors, and attendees for helping make ML4H 2022 such a success. Congratulations to our best papers:
"Predicting Treatment Adherence of Tuberculosis Patients at Scale ": Mihir Kulkarni, Satvik Golechha, Rishi Raj Grandhe, Jithin K. Sreedharan, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Kirankumar Rade, Sanjay Mattoo, Rajendra Joshi, Alpan Raval
"Precise Clinical Predictions via Counterfactual and Factual Reasoning over Hypergraphs of Electronic Health Records": Ran Xu, Yue Yu, Chao Zhang, Mohammed K Ali, Joyce Ho, Carl Yang
For questions/comments, email us at email@example.com. For announcements, follow us on Twitter @symposiumml4h.