مشخصات پژوهش

صفحه نخست /A Comparative Study for ...
عنوان
A Comparative Study for Modelling the Survival of Breast Cancer Patients in the West of Iran
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
breast cancer, model-based recursive partitioning, random survival forest
چکیده
Background: Breast cancer is the main cause of women cancer mortality. Therefore, precise prediction of patients’ risk level is the major concern in therapeutic strategies. Although statistical learning algorithms are high quality risk prediction methods, but usually their better prediction quality leads to moreloss of interpretability. Therefore, the aim of this study is to compare ‘Model-Based Recursive Partitioning’ and ‘Random Survival Forest’; whether the partitioning, as the more interpretable learning technique, could be a suitable successor for forests.
پژوهشگران حسین محجوب (نفر اول)، جواد فردمال (نفر سوم)