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Article

Machine Learning in Heart Failure Research: A Bibliometric Analysis from 2003 to 2023

2023-06-08

Abstract excerpt

<title>Abstract</title> <p>Background Heart failure (HF) is a global public health problem with high morbidity and mortality. While machine learning (ML) has been perceived as a promising tool for HF research, a bibliometric analysis of this application is still lacking. This study aims to analyze the relevant papers from 2003 to 2023 and provide a comprehensive overview of this field in a visual way. Methods W...

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Literature Corpus work
e75ff5a4-871d-54c5-ac68-688f21458a44
DOI
10.21203/rs.3.rs-3024872/v1
Open publication

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Machine Learning in Heart Failure Research: A Bibliometric Analysis from 2003 to 2023DOI 10.21203/rs.3.rs-3024872/v1
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