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Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease

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Bibliographic Details
Published in:Journal of Multidisciplinary Healthcare
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Multidisciplinary Healthcare
description
discipline_display Health and Safety
discipline_facet Health and Safety
format Online Article
RSS Article
genre Journal Article
id rss_article:102948
institution FRELIP
journal_source_facet Journal of Multidisciplinary Healthcare
last_indexed 2026-07-15T03:34:55.419Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
Health and Safety
General
Health and Safety
sub_discipline_display General
sub_discipline_facet General
subject_display Health and Safety
General
Health and Safety
subject_facet Health and Safety
General
Health and Safety
title Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_alt Desarrollo e interpretación de modelos de aprendizaje automático para la recuperación funcional a corto plazo y el reingreso a los 90 días en pacientes con enfermedad cardiovascular
Développement et interprétation de modèles d'apprentissage automatique pour la récupération fonctionnelle à court terme et la réadmission à 90 jours chez les patients atteints de maladies cardiovasculaires
Desenvolvimento e Interpretação de Modelos de Aprendizado de Máquina para Recuperação Funcional de Curto Prazo e Readmissão em 90 Dias em Pacientes com Doença Cardiovascular
title_auth Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_es_txt Desarrollo e interpretación de modelos de aprendizaje automático para la recuperación funcional a corto plazo y el reingreso a los 90 días en pacientes con enfermedad cardiovascular
title_fr_txt Développement et interprétation de modèles d'apprentissage automatique pour la récupération fonctionnelle à court terme et la réadmission à 90 jours chez les patients atteints de maladies cardiovasculaires
title_full Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_fullStr Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_full_unstemmed Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_pt_txt Desenvolvimento e Interpretação de Modelos de Aprendizado de Máquina para Recuperação Funcional de Curto Prazo e Readmissão em 90 Dias em Pacientes com Doença Cardiovascular
title_short Development and Interpretation of Machine Learning Models for Short-Term Functional Recovery and 90-Day Readmission in Patients with Cardiovascular Disease
title_sort development and interpretation of machine learning models for short-term functional recovery and 90-day readmission in patients with cardiovascular disease
topic Health and Safety
General
Health and Safety
url https://www.dovepress.com/development-and-interpretation-of-machine-learning-models-for-short-te-peer-reviewed-fulltext-article-JMDH