학술논문
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
Document Type
Working Paper
Source
Subject
Language
Abstract
We present a novel application of LSTM recurrent neural networks to multilabel classification of diagnoses given variable-length time series of clinical measurements. Our method outperforms a strong baseline on a variety of metrics.