Development of nonlaboratory-based risk prediction models for cardiovascular diseases using conventional and machine learning approaches
Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low–middle-income cou...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33125/1/Development%20of%20nonlaboratory-based%20risk%20prediction%20models%20for%20cardiovascular.pdf |