Modeling methodology for early warning of chronic heart failure based on real medical big data-Reference-Cited by-同舟云学术

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Modeling methodology for early warning of chronic heart failure based on real medical big data

Published:2020-08 Issue: Volume:151 Page:113361
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhou Chunjie,Li Ali,Hou Aihua,Zhang Zhiwang,Zhang Zhenxing,Dai Pengfei,Wang Fusheng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference27 articles.

1. A machine learning model for improving healthcare services on cloud computing environment;Abdelaziz;Measurement,2018

2. A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set;Bekhet;Journal of Biomedical Informatics,2018

3. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003

4. Algorithmic model for risk assessment of heart failure patients;Bohacik,2015

5. Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors;Chang;Expert Systems with Applications,2011

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