首页|Capital Medical University Reports Findings in Liver Cancer (Prognostic model fo r predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study)
Capital Medical University Reports Findings in Liver Cancer (Prognostic model fo r predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study)
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New research on Oncology-Liver Cance r is the subject of a report. According to news originating from Beijing, People 's Republic of China, by NewsRx correspondents, research stated, "This study aim s to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammati on index (SII) levels after receiving ablation treatment, and based on this, con struct a nomogram model for predicting recurrence-free survival (RFS) of patient s. This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accept ed 65 HCC patients with high SII levels from Beijing Ditan Hospital as an extern al validation cohort. 505 patients from Beijing You'an Hospital were divided int o low SII and high SII groups based on the optimal cutoff value of SII scores."
BeijingPeople's Republic of ChinaAsiaCancerCarcinomasCyborgsEmerging TechnologiesHealth and MedicineHosp italsInflammationLiver CancerMachine LearningOncologyRisk and Preventi on
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