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

Saved in:
Bibliographic Details
Title: A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.
Authors: Suri, Jasjit S.1 (AUTHOR) jasjit.suri@atheropoint.com, Bhagawati, Mrinalini2 (AUTHOR) bhagawatimrinalini07@gmail.com, Paul, Sudip2 (AUTHOR) sudip.paul.bhu@gmail.com, Protogerou, Athanasios D.3 (AUTHOR) aprotog@med.uoa.gr, Sfikakis, Petros P.4 (AUTHOR) psfikakis@med.uoa.gr, Kitas, George D.5 (AUTHOR) george.kitas@gmail.com, Khanna, Narendra N.6 (AUTHOR) drnnkhanna@gmail.com, Ruzsa, Zoltan7 (AUTHOR) zruzsa25@gmail.com, Sharma, Aditya M.8 (AUTHOR) as8ah@hscmail.mcc.virginia.edu, Saxena, Sanjay9 (AUTHOR) sanjay@iiit-bh.ac.in, Faa, Gavino10 (AUTHOR) gavinofaa@gmail.com, Laird, John R.11 (AUTHOR) lairdjr@ah.org, Johri, Amer M.12 (AUTHOR) amerjohri@gmail.com, Kalra, Manudeep K.13 (AUTHOR) mkalra@mgh.harvard.edu, Paraskevas, Kosmas I.14 (AUTHOR) paraskevask@hotmail.com, Saba, Luca15 (AUTHOR) lucasabamd@gmail.com
Source: Diagnostics (2075-4418). Mar2022, Vol. 12 Issue 3, p722-722. 47p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first