Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models

Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models

Ovarian cancer is one of the most common types of gynecological malignancies with its high mortality rate, silent and occult tumor growth, late onset of symptoms and diagnosis in advanced stages. Therefore, the need to develop new diagnostic techniques to predict the course of the disease and the pr...

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Bibliographic Details
Main Authors:	Onural Ozhan, Zeynep Kucukakcali, Ipek Balikci Cicek
Format:	Article
Language:	English
Published:	Society of Turaz Bilim 2023-03-01
Series:	Medicine Science
Subjects:	ovarian cancer classification machine learning xgboost stochastic gradient boosting
Online Access:	https://www.medicinescience.org/?mno=114710

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