Ji Won Han, Soon Kyu Lee, Jung Hyun Kwon, Soon Woo Nam, Hyun Yang, Si Hyun Bae, Ji Hoon Kim, Heechul Nam, Chang Wook Kim, Hae Lim Lee, Hee Yeon Kim, Sung Won Lee, Ahlim Lee, U Im Chang, Do Seon Song, Seok-Hwan Kim, Myeong Jun Song, Pil Soo Sung, Jong Young Choi, Seung Kew Yoon, Jeong Won Jang
BACKGROUND: Given its heterogeneity and diverse clinical outcomes, precise subclassification of BCLC-C hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selecting treatment. METHODS: We recruited 2,626 patients with BCLC-C stage HCC from multiple centers, comprising training/test (n=1,693) and validation cohorts (n=933). The XGBoost was chosen for maximum performance among the machine learning (ML) models. Patients were categorized into low-/intermediate-/high-/very high-risk subgroups which were based on the estimated prognosis, and this subclassification was named the CLAssification via Machine learning of BCLC-C (CLAM-C)...
April 19, 2024: Clinical Cancer Research