Dynamic prediction of cardiovascular disease using improved LSTM

Dynamic prediction of cardiovascular disease using improved LSTM

Purpose - Previous dynamic prediction models rarely handle multi-period data with different intervals, and the large-scale patient hospital records are not effectively used to improve the prediction performance. This paper aims to focus on the prediction of cardiovascular disease using the improved...

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Bibliographic Details
Main Authors: Kuang Junwei, Hangzhou Yang, Liu Junjiang, Yan Zhijun
Format: Article
Language:English
Published: Emerald Publishing 2019-03-01
Series:International Journal of Crowd Science
Subjects:
cardiovascular disease
dynamic prediction
lstm
Online Access:https://www.emerald.com/insight/content/doi/10.1108/IJCS-01-2019-0002/full/pdf?title=dynamic-prediction-of-cardiovascular-disease-using-improved-lstm

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https://www.emerald.com/insight/content/doi/10.1108/IJCS-01-2019-0002/full/pdf?title=dynamic-prediction-of-cardiovascular-disease-using-improved-lstm

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