Deep Patient Similarity Learning for Personalized Healthcare.

IEEE Transactions on NanoBioscience(2018)

Cited 88|Views134
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Abstract
Predicting patients' risk of developing certain diseases is an important research topic in healthcare. Accurately identifying and ranking the similarity among patients based on their historical records is a key step in personalized healthcare. The electric health records (EHRs), which are irregularly sampled and have varied patient visit lengths, cannot be directly used to measure patient similari...
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Key words
Measurement,Diseases,Predictive models,Nanobioscience,Convolution,Learning systems
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