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Predicting in-hospital indicators from wearable-derived signals for cardiovascular and respiratory disease monitoring: an in silico study

2025-03-13

Abstract excerpt

Cardiovascular and respiratory diseases (CVRD) are the leading causes of death worldwide. The construction of health digital twins for patient monitoring is becoming a fundamental tool to reduce invasive procedures, lower healthcare costs, minimize patient hospitalization, design clinical trials and personalize therapies. The aim of this study is to investigate the feasibility of machine learning-based monitoring...

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Literature Corpus work
3d051dbc-150a-54b8-99ef-aa4e9b8131f2
DOI
10.1101/2025.03.11.25323722
Open publication

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Predicting in-hospital indicators from wearable-derived signals for cardiovascular and respiratory disease monitoring: an in silico studyDOI 10.1101/2025.03.11.25323722
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