Application of machine learning techniques for predicting survival in ovarian cancer

Application of machine learning techniques for predicting survival in ovarian cancer

Abstract Background Ovarian cancer is the fifth leading cause of mortality among women in the United States. Ovarian cancer is also known as forgotten cancer or silent disease. The survival of ovarian cancer patients depends on several factors, including the treatment process and the prognosis. Meth...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil
פורמט: Article
שפה:English
יצא לאור: BMC 2022-12-01
סדרה:BMC Medical Informatics and Decision Making
נושאים:
Ovarian cancer
Clinical features
Survival prediction
Machine learning
Interpretable machine learning
גישה מקוונת:https://doi.org/10.1186/s12911-022-02087-y

אינטרנט

https://doi.org/10.1186/s12911-022-02087-y

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