0.9902, and f1-score1 of 0.9938. Therefore, the
Decision Tree model is chosen for more accurate
prediction of cardiovascular disease onset. Through
correlation analysis, it was found that age, kcm, and
troponin are highly correlated with the onset of heart
disease. Individuals over 40 years old, with kcm over
10, and troponin levels over 0.25 are at a higher risk
of developing the disease. These individuals should
undergo further examinations for preventative
measures against cardiovascular diseases.
Future research could incorporate additional
factors for analysis, such as smoking history, Insulin
resistance (IR)๏ผfamily history of heart disease, and
integrate electrocardiograms and other imaging for
further analysis. Utilizing larger datasets for testing
could enhance prediction accuracy. Collaboration
with medical institutions to obtain more realistic
clinical data could identify the most significant
influencing factors, aiding in the timely detection of
cardiovascular disease precursors, prompt medical
intervention, and reducing the disability and mortality
rates associated with cardiovascular diseases.
AUTHORS CONTRIBUTION
All the authors contributed equally and their names
were listed in alphabetical order.
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