Academic Journal
Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method
| العنوان: | Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method |
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| المؤلفون: | Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar |
| المصدر: | Complexity, Vol 2021 (2021) |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Heart disease is the deadliest disease and one of leading causes of death worldwide. Machine learning is playing an essential role in the medical side. In this paper, ensemble learning methods are used to enhance the performance of predicting heart disease. Two features of extraction methods: linear discriminant analysis (LDA) and principal component analysis (PCA), are used to select essential features from the dataset. The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. The different methods are used to evaluate models: accuracy, recall, precision, F-measure, and ROC.The results show the bagging ensemble learning method with decision tree has achieved the best performance. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1076-2787 1099-0526 |
| Relation: | https://doaj.org/toc/1076-2787; https://doaj.org/toc/1099-0526 |
| DOI: | 10.1155/2021/6663455 |
| URL الوصول: | https://doaj.org/article/07d0a0ff9ebc4a64b43ec3b1fb22e3e1 |
| رقم الانضمام: | edsdoj.07d0a0ff9ebc4a64b43ec3b1fb22e3e1 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10762787 10990526 |
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| DOI: | 10.1155/2021/6663455 |