Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer

Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets. A total of 364,...

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Vydáno v:	Cancer research and treatment Ročník 54; číslo 2; s. 517
Hlavní autoři:	Osman, Mohamed Hosny, Mohamed, Reham Hosny, Sarhan, Hossam Mohamed, Park, Eun Jung, Baik, Seung Hyuk, Lee, Kang Young, Kang, Jeonghyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Korea (South) 01.04.2022
Témata:	Colorectal Neoplasms - pathology Humans Machine Learning Predictive Value of Tests ROC Curve Survival Rate SEER Colorectal neoplasms Area under the curve LightGBM Mortality Machine learning
ISSN:	2005-9256, 2005-9256
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