A classification and regression tree algorithm for heart disease modeling and prediction
Heart disease remains the leading cause of death, such that nearly one-third of all deaths worldwide are estimated to be caused by heart-related conditions. Advancing applications of classification-based machine learning to medicine facilitates earlier detection. In this study, the Classification an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Healthcare Analytics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442522000703 |
| _version_ | 1797796024767479808 |
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| author | Mert Ozcan Serhat Peker |
| author_facet | Mert Ozcan Serhat Peker |
| author_sort | Mert Ozcan |
| collection | DOAJ |
| description | Heart disease remains the leading cause of death, such that nearly one-third of all deaths worldwide are estimated to be caused by heart-related conditions. Advancing applications of classification-based machine learning to medicine facilitates earlier detection. In this study, the Classification and Regression Tree (CART) algorithm, a supervised machine learning method, has been employed to predict heart disease and extract decision rules in clarifying relationships between input and output variables. In addition, the study’s findings rank the features influencing heart disease based on importance. When considering all performance parameters, the 87% accuracy of the prediction validates the model’s reliability. On the other hand, extracted decision rules reported in the study can simplify the use of clinical purposes without needing additional knowledge. Overall, the proposed algorithm can support not only healthcare professionals but patients who are subjected to cost and time constraints in the diagnosis and treatment processes of heart disease. |
| first_indexed | 2024-03-13T03:27:55Z |
| format | Article |
| id | doaj.art-03c68b5836304a1dae612a6b4a253654 |
| institution | Directory Open Access Journal |
| issn | 2772-4425 |
| language | English |
| last_indexed | 2024-03-13T03:27:55Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Healthcare Analytics |
| spelling | doaj.art-03c68b5836304a1dae612a6b4a2536542023-06-25T04:44:07ZengElsevierHealthcare Analytics2772-44252023-11-013100130A classification and regression tree algorithm for heart disease modeling and predictionMert Ozcan0Serhat Peker1Corresponding author.; Department of Management Information Systems, İzmir Bakircay University, İzmir, TurkeyDepartment of Management Information Systems, İzmir Bakircay University, İzmir, TurkeyHeart disease remains the leading cause of death, such that nearly one-third of all deaths worldwide are estimated to be caused by heart-related conditions. Advancing applications of classification-based machine learning to medicine facilitates earlier detection. In this study, the Classification and Regression Tree (CART) algorithm, a supervised machine learning method, has been employed to predict heart disease and extract decision rules in clarifying relationships between input and output variables. In addition, the study’s findings rank the features influencing heart disease based on importance. When considering all performance parameters, the 87% accuracy of the prediction validates the model’s reliability. On the other hand, extracted decision rules reported in the study can simplify the use of clinical purposes without needing additional knowledge. Overall, the proposed algorithm can support not only healthcare professionals but patients who are subjected to cost and time constraints in the diagnosis and treatment processes of heart disease.http://www.sciencedirect.com/science/article/pii/S2772442522000703Machine learningData miningDecision treesClassification and regression treesDecision rulePredictive analytics |
| spellingShingle | Mert Ozcan Serhat Peker A classification and regression tree algorithm for heart disease modeling and prediction Healthcare Analytics Machine learning Data mining Decision trees Classification and regression trees Decision rule Predictive analytics |
| title | A classification and regression tree algorithm for heart disease modeling and prediction |
| title_full | A classification and regression tree algorithm for heart disease modeling and prediction |
| title_fullStr | A classification and regression tree algorithm for heart disease modeling and prediction |
| title_full_unstemmed | A classification and regression tree algorithm for heart disease modeling and prediction |
| title_short | A classification and regression tree algorithm for heart disease modeling and prediction |
| title_sort | classification and regression tree algorithm for heart disease modeling and prediction |
| topic | Machine learning Data mining Decision trees Classification and regression trees Decision rule Predictive analytics |
| url | http://www.sciencedirect.com/science/article/pii/S2772442522000703 |
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