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Author/Affiliation: Chalinee PartanapatA Hybrid Mod
Advances in Science, Technology and Engineering Systems Journal,
Volume 5,
Issue 5,
Page # 414–425,
2020;
DOI: 10.25046/aj050552
Abstract:
The ability to verify the critical risk factors related to an effective diagnosis is very crucial for improving accuracy on coronary heart disease prediction. The objective of this research is to find the best predictive model for coronary heart disease diagnosis. Three approaches are set up to achieve the goals (1) investigating the classifier algorithms…
Read More(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Bioinformatics (BIF))
