Development of a deep learning system for preventive detection of heart failure due to pulmonary disease-Reference-Cited by-同舟云学术

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Development of a deep learning system for preventive detection of heart failure due to pulmonary disease

Published:2022-10-19 Issue: Volume: Page:
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Container-title:2022 11th International Conference On Software Process Improvement (CIMPS)
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Author:

Felix Jimenez Axel Frederick¹,Belmonte Isaul Ibarra²,Sanchez Lee Vania Stephany¹,Avila Uziel Jaramillo³,Parra Gonzalez Ezra Federico³

Affiliation:

1. Computer Systems Engineering National Polytechnic Institute,Zacatecas,México

2. Software Engineer Center for Research in Mathematics, Zacatecas,Zacatecas,México

3. Computer Science Department Center for Research in Mathematics, Zacatecas,Zacatecas,México

Funder

CONACyT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10035564/10035565/10035688.pdf?arnumber=10035688

Reference30 articles.

1. Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

2. Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study

3. A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases

4. Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning

5. Cross-section study of pulmonary function in patients with insulin-dependent diabetes mellitus;sandler;American Review of Respiratory Disease,1987

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