Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak
arXiv:1811.07216v213 citations
Originality Synthesis-oriented
AI Analysis
It addresses health challenges for researchers and practitioners by showcasing workshop contributions, but is incremental as it is a collection of existing work.
This paper compiles accepted submissions from the Machine Learning for Health (ML4H) workshop at NeurIPS 2018, presenting research on applying machine learning to health-related problems, but does not report specific results or numbers.
This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.