Identifying Cardiovascular Disease Risk Factors in Adults with Explainable Artificial Intelligence

BACKGROUND: The aim of this study was to evaluate the relationship between risk factors causing cardiovascular diseases and their importance with explainable machine learning models. METHODS: In this retrospective study, multiple databases were searched, and data on 11 risk factors of 70 000 patient...

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Detalles Bibliográficos
Autores principales: Kübra Kırboğa, Kevser, Uğur Küçüksille, Ecir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Society of Cardiology 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621606/
https://www.ncbi.nlm.nih.gov/pubmed/37624075
http://dx.doi.org/10.14744/AnatolJCardiol.2023.3214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621606/
https://www.ncbi.nlm.nih.gov/pubmed/37624075
http://dx.doi.org/10.14744/AnatolJCardiol.2023.3214

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