Deep Learning to Predict Patient Future Diseases from the Electronic Health Records
- 4.4k Downloads
The increasing cost of health care has motivated the drive towards preventive medicine, where the primary concern is recognizing disease risk and taking action at the earliest stage. We present an application of deep learning to derive robust patient representations from the electronic health records and to predict future diseases. Experiments showed promising results in different clinical domains, with the best performances for liver cancer, diabetes, and heart failure.
KeywordsDisease prediction Preventive medicine Electronic health records Medical information retrieval Deep learning
- 11.LePendu, P., Iyer, S., Fairon, C., Shah, N.: Annotation analysis for testing drug safety signals using unstructured clinical notes. J. Biomed. Semant. 3(S–1), S5 (2012)Google Scholar