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Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study.
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...
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Machine learning tool predicts cancer treatment response based on genetic mutations
A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...
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Using machine learning for the personalised prognostication of Merkel cell carcinoma
Machine learning tools can improve personalised prognostication of aggressive skin cancers such as Merkel cell carcinoma, a ...
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Machine Learning Model Accurately Predicts Survival in Merkel Cell Cancer
WEDNESDAY, Jan. 15, 2025 (HealthDay News) -- A machine learning model can make accurate survival predictions for Merkel cell carcinoma (MCC), according to a study published online Jan. 8 in npj ...