Clara Steitz

Clara Steitz

Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation

Introduction: To analyze the risk factors affecting recurrence in early-stage hepatocellular carcinoma (HCC) patients treated with ablation and then establish a nomogram to provide a clear and accessible representation of the patients’ recurrence risk. Methods: Collect demographic and clinical data of 898 early-stage HCC patients who underwent ablation treatment at

Subscribe to The Article Feed

Don’t miss out on the latest articles. Sign up now to get access to the library of members-only articles.
jamie@example.com
Subscribe