Area of research
Computer Vision and Pattern Recognition · Neurology
Research interest
Research focused on Helicobacter pylori and Boosting (machine learning), with related work in Algorithm, Cancer, Gradient boosting. Notable publications include 'Development and validation of LightGBM algorithm for optimizing of Helicobacter pylori antibody during the minimum living guarantee crowd based gastric cancer screening program in...', 'A Study on the Feasibility of Optimizing Gastric Cancer Screening to Reduce Screening Costs in China Using a Gradient Boosting Machine: A prospective, large-sample, single-center...', and 'Development and Validation of a Machine Learning Algorithm for the Detection of Helicobacter Pylori Antibody During the Minimum Living Guarantee Crowd Based Gastric Cancer...'.
A Study on the Feasibility of Optimizing Gastric Cancer Screening to Reduce Screening Costs in China Using a Gradient Boosting Machine: A prospective, large-sample, single-center study
Development and validation of LightGBM algorithm for optimizing of Helicobacter pylori antibody during the minimum living guarantee crowd based gastric cancer screening program in Taizhou, China
Development and Validation of a Machine Learning Algorithm for the Detection of Helicobacter Pylori Antibody During the Minimum Living Guarantee Crowd Based Gastric Cancer Screening Program in Taizhou, China