A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

According to the Pan American Health Organization, cardiovascular disease is the leading cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper presents a systematic review to highlight the use of IoT, IoMT, and machine learning to detect, predict, or monitor cardio...

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Bibliographic Details
Main Authors: Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernandez, Eduardo Sánchez-Jiménez, Gilberto Ochoa-Ruiz, Joaquín Pérez, Gabriel González-Serna
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Healthcare
Subjects:
systematic review
cardiovascular disease
machine learning
wearable technologies
IoT
IoMT
Online Access:https://www.mdpi.com/2227-9032/11/16/2240

Internet

https://www.mdpi.com/2227-9032/11/16/2240

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