Additive survival least square support vector machines: A simulation study and its application to cervical cancer prediction

Support Vector Machines (SVMs) has been widely applied for prediction in many fields. Recently, SVM is also developed for survival analysis. In this study, Additive Survival Least Square SVM (A-SURLSSVM) approach is used to analyze cervical cancer dataset and its performance is compared with the Cox...

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Hauptverfasser:	Khotimah, Chusnul, Purnami, Santi Wulan, Prastyo, Dedy Dwi, Chosuvivatwong, Virasakdi, Sriplung, Hutcha
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Age Anemia Cancer Cervical cancer Computer simulation Empirical analysis Least squares Mathematical models Menstruation Patients Simulation Support vector machines Survival Survival analysis
Online-Zugang:	Volltext
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