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GTC ON-DEMAND

HPC and AI
Presentation
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Deep Patient: Predict the Medical Future of Patients with Deep Learning
Abstract:

This talk focuses on advances in deep learning applied to precision medicine and, especially, on "deep patient", a general-purpose patient representation derived from the electronic health records (EHRs) that facilitates clinical predictive modeling. Precision medicine raises big challenges in dealing with large and massive data from heterogeneous sources, such as EHRs, genomics, and wearables. Deep learning provides a unique opportunity to retrieve information from these complex and heterogeneous sources. Here, in particular, we show how a deep architecture was able to process aggregated EHRs from the Mount Sinai Health System data warehouse to derive domain-free patient representations that can improve automatic medical predictions given the patient clinical status.

 
Topics:
HPC and AI, HPC and AI
Type:
Talk
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16115
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