Machine learning algorithms for predicting coronary artery disease: efforts toward an open source solution

AIM: The development of coronary artery disease (CAD), a highly prevalent disease worldwide, is influenced by several modifiable risk factors. Predictive models built using machine learning (ML) algorithms may assist clinicians in timely detection of CAD and may improve outcomes. MATERIALS & MET...

Descripción completa

Detalles Bibliográficos
Autores principales: Akella, Aravind, Akella, Sudheer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147740/
https://www.ncbi.nlm.nih.gov/pubmed/34046201
http://dx.doi.org/10.2144/fsoa-2020-0206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147740/
https://www.ncbi.nlm.nih.gov/pubmed/34046201
http://dx.doi.org/10.2144/fsoa-2020-0206

Ejemplares similares