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2017 GTC San Jose

S7563 - Deep Patient: Predict the Medical Future of Patients with Deep Learning

Session Speakers
Session Description

Precision medicine initiatives bring tremendous opportunities to speed up scientific discovery and promote quality improvement in medicine. However, it also raises big challenges in dealing with massive data from heterogeneous sources, such as electronic health records (EHRs), -omics, and wearables. Traditional data mining and statistical learning methods tend to favor clean and structured data, which may not be able to effectively utilize the rich information embedded in biomedical data. The latest breakthrough in deep learning technologies provides a unique opportunity to retrieve information from complex and heterogeneous sources. We'll review advances in deep learning applied to precision medicine and next-generation healthcare, with a special focus on Deep Patient, a general-purpose patient representation from EHRs that facilitates clinical predictive modeling and medical analysis.


Additional Session Information
Intermediate
Talk
AI in Healthcare Summit Deep Learning and AI Healthcare and Life Sciences
Healthcare & Life Sciences Higher Education / Research
50 minutes
Session Schedule