Time-sequential prediction of postoperative complications after gastric cancer surgery using machine learning
1Gastroenterology Department, The First Hospital of Hebei Medical University, Hebei Province, Shijiazhuang, 050031, China.
No abstract available in PubMed .
Related Concept Videos
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
10:31Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma
07:27Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:15Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery


