Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model
AUTHORS: Yohan Jo, Carnegie Mellon University | Natasha Loghmanpour, Carnegie Mellon University | Carolyn Penstein Rosé, Carnegie Mellon University ABSTRACT Accurate mortality prediction is an important task in intensive care units in order to channel prompt care to patients in the most critical condition and to reduce nurses’ alarm fatigue. Nursing notes carry valuable information in this regard, but nothing has been reported about […]