Machine learning model using immune indicators to predict outcomes in early liver cancer.

Journal: World journal of gastroenterology

PMID: 39926221

Abstract

BACKGROUND: Patients with early-stage hepatocellular carcinoma (HCC) generally have good survival rates following surgical resection. However, a subset of these patients experience recurrence within five years post-surgery.

Authors

Yi Zhang

Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Ke Shi

School of Computer Science and Technology, Huazhong University of Science and Technology, China. Electronic address: keshi@mail.hust.edu.cn.
Ying Feng

Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Xian-Bo Wang

Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China. wangxb@ccmu.edu.cn.

Keywords

Aged Biomarkers, Tumor Carcinoma, Hepatocellular Decision Trees Female Hepatectomy Humans Liver Neoplasms Machine Learning Male Middle Aged Neoplasm Recurrence, Local Neoplasm Staging Neural Networks, Computer Predictive Value of Tests Prognosis Risk Assessment Risk Factors Survival Rate

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View on PubMed Access via DOI PubMed (39926221)

Machine learning model using immune indicators to predict outcomes in early liver cancer.

Abstract

Authors

Keywords

External Resources

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