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Nonclinical Features in Predictive Modeling of Cardiovascular Diseases: A Machine Learning Approach

Background In the broader healthcare domain, the prediction bears more value than an explanation considering the cost of delays in its services. There are various risk prediction models for cardiovascular diseases (CVDs) in the literature for early risk assessment. However, the substantial increase...

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Bibliographic Details
Main Authors: Mirza Rizwan, Sajid, Noryanti, Muhammad, Roslinazairimah, Zakaria, Ahmad, Shahbaz, Syed Ahmad Chan, Bukhari, Kadry, Seifedine, A., Suresh
Format: Article
Language:English
Published: Springer 2021
Subjects:
QA Mathematics
R Medicine (General)
Online Access:http://umpir.ump.edu.my/id/eprint/31891/1/Nonclinical%20Features%20in%C2%A0Predictive%20Modeling.pdf
http://umpir.ump.edu.my/id/eprint/31891/
https://doi.org/10.1007/s12539-021-00423-w
https://doi.org/10.1007/s12539-021-00423-w
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http://umpir.ump.edu.my/id/eprint/31891/1/Nonclinical%20Features%20in%C2%A0Predictive%20Modeling.pdf
http://umpir.ump.edu.my/id/eprint/31891/
https://doi.org/10.1007/s12539-021-00423-w
https://doi.org/10.1007/s12539-021-00423-w

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