IJERPH, Vol. 17, Pages 731: Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model

In this study, we propose an integrated method using machine learning. The machine learning methods of random trees (RTs), decision tree of C5.0, support vector machine (SVM), and decision tree of Chi-squared automatic interaction detection (CHAID) are used in this study. The proposed method shows promising results and the study confirms that the RTs model outperforms other models.

Source: International Journal of Environmental Research and Public Health - January 22, 2020 Category: Environmental Health Authors: Joloudari Joloudari Saadatfar GhasemiGol Razavi Mosavi Nabipour Shamshirband Nadai Tags: Article Source Type: research