Feasibility of machine learning-based modeling and prediction using multiple centers data to assess intrahepatic cholangiocarcinoma outcomes
AbstractBackground and aims Currently, there are still no definitive consensus in the treatment of intrahepatic cholangiocarcinoma (iCCA). This study aimed to build a clinical decision support tool based on machine learning using the Surveillance, Epidemiology, and End Results (SEER) database and th...
Main Authors: | Shuang-Nan Zhou, Da-Wei Jv, Xiang-Fei Meng, Jing-Jing Zhang, Chun Liu, Ze-Yi Wu, Na Hong, Yin-Ying Lu, Ning Zhang |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Annals of Medicine |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/07853890.2022.2160008 |
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