A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and fast-evolving Artificial Intelligence (AI) me...

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Detalles Bibliográficos
Autores principales: Suri, Jasjit S., Bhagawati, Mrinalini, Paul, Sudip, Protogerou, Athanasios D., Sfikakis, Petros P., Kitas, George D., Khanna, Narendra N., Ruzsa, Zoltan, Sharma, Aditya M., Saxena, Sanjay, Faa, Gavino, Laird, John R., Johri, Amer M., Kalra, Manudeep K., Paraskevas, Kosmas I., Saba, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947682/
https://www.ncbi.nlm.nih.gov/pubmed/35328275
http://dx.doi.org/10.3390/diagnostics12030722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947682/
https://www.ncbi.nlm.nih.gov/pubmed/35328275
http://dx.doi.org/10.3390/diagnostics12030722

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