Predicting Epithelial Ovarian Cancer First Recurrence with Random Survival Forest: Comparison Parametric, Semi-Parametric, and Random Survival Forest Methods
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چکیده
منابع مشابه
Identification of Factors Affecting Metastatic Gastric Cancer Patients’ Survival Using the Random Survival Forest and Comparison with Cox Regression Model
Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox m...
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Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملSurvival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
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ژورنال
عنوان ژورنال: Journal of Biostatistics and Epidemiology
سال: 2021
ISSN: 2383-420X,2383-4196
DOI: 10.18502/jbe.v6i4.5680