ML4H Abstract Track 2019

• URL: http://arxiv.org/abs/2002.01584v1
• Date: Wed, 5 Feb 2020 00:18:01 GMT
• Title: ML4H Abstract Track 2019
• Authors: Matthew B.A. McDermott (1), Emily Alsentzer (1 and 2), Sam Finlayson (1 and 2), Michael Oberst (1), Fabian Falck (3), Tristan Naumann (4), Brett K. Beaulieu-Jones (2), Adrian V. Dalca (2 and 1) ((1) Massachusetts Institute of Technology, (2) Harvard Medical School, (3) Carnegie Mellon University, (4) Microsoft Research)
• Abstract summary: A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2019. This index is not complete, as some accepted abstracts chose to opt-out of inclusion.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2019. This index is not complete, as some accepted abstracts chose to opt-out of inclusion.

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