HIGHLIGHTS
- who: Amir Sorayaie Azar from the Department of Computer Engineering, Urmia University, Urmia, Iran have published the Article: Application of machine learning techniques for predicting survival in ovarian cancer, in the Journal: (JOURNAL)
- what: In this study, six ML models of K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Adaptive Boosting (AdaBoost), and Extreme Gradient Boosting (XGBoost) were developed to predict the survival of ovarian cancer patients in two approaches of classification and regression . This study is designed to address the mentioned research gaps in this domain. In this . . .
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