Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review-Reference-Cited by-同舟云学术

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Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review

Published:2024-01 Issue: Volume:87 Page:105463
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ramirez-Bautista Julian Andres,Chaparro-Cárdenas Silvia L.,Esmer Carmen,Huerta-Ruelas Jorge Adalberto

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference164 articles.

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3. Z. Li, W. Chen, J. Wang, and J. Liu, “An automatic recognition system for patients with movement disorders based on wearable sensors,” Proc. 2014 9th IEEE Conf. Ind. Electron. Appl. ICIEA 2014, pp. 1948–1953, 2014, 10.1109/ICIEA.2014.6931487.

4. K. Siddiqi, “Non-communicable diseases,” Public Health: An action guide to improving health, 2010. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases (accessed Oct. 04, 2021).

5. Y. Zoabi, “COVID-19 diagnosis prediction by symptoms of tested individuals : a machine learning approach,” no. May, 2020, 10.1101/2020.05.07.20093948.

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