Identification and prediction of risk factors for upper gastrointestinal cancer
Principal Investigator
Name
bo zhu
Degrees
Ph.D
Institution
China Medical University
Position Title
Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1350
Initial CDAS Request Approval
Oct 16, 2023
Title
Identification and prediction of risk factors for upper gastrointestinal cancer
Summary
Early diagnosis and treatment of upper gastrointestinal cancer are very important, so it is important to identify risk factors early and accurately predict it. Therefore, we want to conduct research in this area.
For the identification of upper gastrointestinal risk factors, we will classify them by gender, age, and race, conduct preliminary statistical analysis on other factors, and then apply advanced statistical methods such as COX regression for analysis. Based on the analysis results, use methods such as column charts, decision trees, or Bayesian methods to predict the occurrence and development of diseases.
For the identification of upper gastrointestinal risk factors, we will classify them by gender, age, and race, conduct preliminary statistical analysis on other factors, and then apply advanced statistical methods such as COX regression for analysis. Based on the analysis results, use methods such as column charts, decision trees, or Bayesian methods to predict the occurrence and development of diseases.
Aims
(1) Identifying high-risk factors for upper gastrointestinal cancer；
(2) Predicting the occurrence of upper gastrointestinal cancer。
Collaborators
qihui tian, hongying wang, xuanbing li, meixi gong, yuanshen ma