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

Suri Jasjit S. and Bhagawati Mrinalini and Paul Sudip and Protogerou Athanasios D. and Sfikakis Petros P. and Kitas George D. and Khanna Narendra N. and Ruzsa Zoltán and Sharma Aditya M. and Saksena Sanjay and Faa Gavino and Laird John R. and Johri Amer M. and Kalra Manudeep and Paraskevas Kosmas I. and Saba Luca: A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.
DIAGNOSTICS, 12 (3). ISSN 2075-4418 (2022)

[thumbnail of Suri2022.pdf]
Preview
Text
Suri2022.pdf - Published Version

Download (9MB) | Preview
Item Type: Journal Article
Szerzők száma: 16
Journal or Publication Title: DIAGNOSTICS
Date: 2022
Volume: 12
Number: 3
ISSN: 2075-4418
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 32779042
DOI azonosító: https://doi.org/10.3390/diagnostics12030722
Date Deposited: 2022. Apr. 13. 11:05
Last Modified: 2022. Apr. 13. 11:05
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/24080
Web of Science® Times Cited: 19 View citing articles in Web of Science®

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year