COMPUTATIONAL PHENOTYPING IN POLYSOMNOGRAPHY: USING INTERPRETABLE PHYSIOLOGY-BASED MACHINE LEARNING MODELS TO PREDICT HEALTH OUTCOMES

Fernandez C1,2, Rusk S1,2, Glattard N1,2, Shokoueinejad M3

1Department of Population Health Sciences, University of Wisconsin Madison, Madison, WI, 2 EnsoData Research, EnsoData, Inc., Madison, WI, 3 Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI

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