Cardiovascular disease prediction model based on multi-perspective contrast learning method
Principal Investigator
Name
zikai xiao
Degrees
M.C.S
Institution
The Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China
Position Title
postgraduate
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1229
Initial CDAS Request Approval
Apr 10, 2024
Title
Cardiovascular disease prediction model based on multi-perspective contrast learning method
Summary
We aim to train a cardiovascular disease prediction model by collecting this data set and using a multi-view comparative learning method.
Aims
We wanted to build a large, unsupervised model of cardiovascular disease prediction and risk stratification to assist physicians in clinical diagnosis and reduce their workload, allowing them to focus on more complex clinical problems.
Collaborators
none