Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

Cardiovascular disease is difficult to detect due to several risk factors, including high blood pressure, cholesterol, and an abnormal pulse rate. Accurate decision-making and optimal treatment are required to address cardiac risk. As machine learning technology advances, the healthcare industry...

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Detalles Bibliográficos
Autores principales: Nadakinamani, Rajkumar Gangappa, Reyana, A., Kautish, Sandeep, Vibith, A. S., Gupta, Yogita, Abdelwahab, Sayed F., Mohamed, Ali Wagdy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767405/
https://www.ncbi.nlm.nih.gov/pubmed/35069715
http://dx.doi.org/10.1155/2022/2973324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767405/
https://www.ncbi.nlm.nih.gov/pubmed/35069715
http://dx.doi.org/10.1155/2022/2973324

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