Comparison of methods for balancing data in SVM.

<div><p>Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery periods, and limited efficacy of...

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Bibliographic Details
Main Author:	Xinyi Wei (2973381) (author)
Other Authors:	Boyu Shi (7858166) (author)
Published:	2025
Subjects:	Medicine Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified related pathogenic factors prolonged recovery periods principal component analysis poses significant threats major cardiovascular disorder complicate accurate diagnosis random forest model data imbalance issue 27 %, respectively 03 %, respectively combining data balancing score reached 93 prevention face challenges limited medical resources efficient diagnostic tool pca </ p model accuracy increased data balancing efficient diagnostic best model 26 %, precise prevention medical professionals limited efficacy challenges posed score increased diagnostic indicators accuracy increased traditional methods study provides scientific foundation reducing bias predictive framework optimization experiment high costs grid search global shortage global health decision trees classification tasks 58 %.
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Comparison of methods for balancing data in SVM.

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