Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks
International Journal of Medical Informatics(2020)
摘要
•Deep learning technique can be used to predict optimal hypertension treatment pathways.•The LSTM models achieve high accuracy for predicting individual probability of reaching BP goals on different treatment regimens.•The LSTM models could be used as a powerful decision-support tool to form dynamic, personalized strategies for hypertension treatment plans, especially for difficult-to-treat patients.
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关键词
hypertension treatment pathways,clinical decision support,deep learning,recurrent neural networks,long short-term memory
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