Interpretable Deep Models for ICU Outcome Prediction

Robinder G. Khemani
Robinder G. Khemani

AMIA, 2016.

Cited by: 134|Views28
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Abstract:

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns ofdiseases. Recently, deep learning models have been employedfor many computational phenotyp...More

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