Risk Prediction on Electronic Health Records with Prior Medical Knowledge
Author:
Affiliation:
1. SUNY Buffalo, Buffalo, NY, USA
2. Microsoft AI &Research, Redmond, WA, USA
3. Ehealth Inc, Mountain View, CA, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3219819.3220020
Reference32 articles.
1. Patient Subtyping via Time-Aware LSTM Networks
2. Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
3. Deep Computational Phenotyping
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