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The Use of Machine Learning for the Care of Hypertension and Heart Failure
Machine learning (ML) is a branch of artificial intelligence that combines computer science, statistics, and decision theory to learn complex patterns from voluminous data. In the last decade, accumulating evidence has shown the utility of ML for prediction, diagnosis, and classification of hyperten...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627876/ https://www.ncbi.nlm.nih.gov/pubmed/36338169 http://dx.doi.org/10.1016/j.jacasi.2021.07.005 |
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author | Cai, Anping Zhu, Yicheng Clarkson, Stephen A. Feng, Yingqing |
author_facet | Cai, Anping Zhu, Yicheng Clarkson, Stephen A. Feng, Yingqing |
author_sort | Cai, Anping |
collection | PubMed |
description | Machine learning (ML) is a branch of artificial intelligence that combines computer science, statistics, and decision theory to learn complex patterns from voluminous data. In the last decade, accumulating evidence has shown the utility of ML for prediction, diagnosis, and classification of hypertension and heart failure (HF). In addition, ML-enabled image analysis has potential value in assessing cardiac structure and function in an accurate, scalable, and efficient way. Considering the high burden of hypertension and HF in China and worldwide, ML may help address these challenges from different aspects. Indeed, prior studies have shown that ML can enhance each stage of patient care, from research and development, to daily clinical practice and population health. Through reviewing the published literature, the aims of the current systemic review are to summarize the utilities of ML for the care of those with hypertension and HF. |
format | Online Article Text |
id | pubmed-9627876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96278762022-11-04 The Use of Machine Learning for the Care of Hypertension and Heart Failure Cai, Anping Zhu, Yicheng Clarkson, Stephen A. Feng, Yingqing JACC Asia State-of-the-Art Review Machine learning (ML) is a branch of artificial intelligence that combines computer science, statistics, and decision theory to learn complex patterns from voluminous data. In the last decade, accumulating evidence has shown the utility of ML for prediction, diagnosis, and classification of hypertension and heart failure (HF). In addition, ML-enabled image analysis has potential value in assessing cardiac structure and function in an accurate, scalable, and efficient way. Considering the high burden of hypertension and HF in China and worldwide, ML may help address these challenges from different aspects. Indeed, prior studies have shown that ML can enhance each stage of patient care, from research and development, to daily clinical practice and population health. Through reviewing the published literature, the aims of the current systemic review are to summarize the utilities of ML for the care of those with hypertension and HF. Elsevier 2021-09-21 /pmc/articles/PMC9627876/ /pubmed/36338169 http://dx.doi.org/10.1016/j.jacasi.2021.07.005 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | State-of-the-Art Review Cai, Anping Zhu, Yicheng Clarkson, Stephen A. Feng, Yingqing The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title | The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title_full | The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title_fullStr | The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title_full_unstemmed | The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title_short | The Use of Machine Learning for the Care of Hypertension and Heart Failure |
title_sort | use of machine learning for the care of hypertension and heart failure |
topic | State-of-the-Art Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627876/ https://www.ncbi.nlm.nih.gov/pubmed/36338169 http://dx.doi.org/10.1016/j.jacasi.2021.07.005 |
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