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,...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Cancer research and treatment Jg. 54; H. 2; S. 517
Hauptverfasser:	Osman, Mohamed Hosny, Mohamed, Reham Hosny, Sarhan, Hossam Mohamed, Park, Eun Jung, Baik, Seung Hyuk, Lee, Kang Young, Kang, Jeonghyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Korea (South) 01.04.2022
Schlagworte:	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
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!