EVALUATING THE PREDICTIVE POWER OF DISCRIMINANT ANALYSIS FOR CORONARY HEART DISEASE RISK ASSESSMENT
Abstract
Coronary heart disease (CHD) is a major public health concern. This study evaluated the predictive power of discriminant analysis for coronary heart disease (CHD) risk assessment. Using a sample of 1300 patients, the discriminant model identified significant predictors of CHD, including demographic and clinical factors. However, the model’s performance was relatively low with an accuracy of 37.6%, specificity of 33.5%, sensitivity of 41.3%, precision of 40.8%, and F1-score of 0.410. Despite identifying key predictors, the model’s limited performance suggests that further refinement or alternative models may be necessary for accurate CHD risk assessment.
References
Abdulqader, Q.M. (2015). Comparison of discriminant analysis and logistic regression analysis: An application on caesarean births and natural births data. Yuzuncu Yil Universitesi Fen Bilimleri Enstitusu Dergisi, 20(1-2):34-46.
Anthony M. Nwohiri, Adeyemi A. Laguda, Abidemi A. Olanite, Damilare D. Olabam-Ire (2024). Logistic Regression Technique for Cardiovascular Disease Prediction. FUDMA Journal of sciences (FJS) ISSN online: 2616-1370 ISSN print: 2645-2944, Vol. 8 No 4, August, 2024, pp 266-275.
Ciu, T. and Oetama, R.S. (2020). Logistic regression prediction model for cardiova Scular disease. IJNMT (International journal of new media Technology),7(1):33-38.
Isnanto, R. R., Rashad, I., and Widodo, C.E. (2023). Classisication of heart disease Using linear discriminant analysis algorithm. In E3S Web of Conferences,Volume 448, page 02053. EDP Sciences.
Kiyoshige, E., Ogata, S., OFlaherty, M., Capewell, S., Takegami, M., lihari, K., Kypridemos, C., and Nishimura, K. (2023). Projections of future coronary heart disease and stroke mo- Mortality in japan until 2040: a bayesian 42 age-period cohort analysis. The Lancet Regional Health-Western pacific
Priyadarshini, E., Gayathri, G. R., Chakravarthy, S. E., Vidhya, M., and Memala, W. A. (2021). Analysis of heart disease using statistical techniques. In Journal Of physics: Conference series, volume 1770, page 012105. IOP Publishing.
Rajarathinam, A. (2024). Discriminant analysis for heart disease attributes
Usman, A. (2012). Statistical Methods for Biometric and Medical Research. Mil- Lennium Printing and Publishing Company Limited, Kaduna, Nigeria, pages 486-495.
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