Study on survival prediction method of lung cancer patients based on multimodal data
Principal Investigator
Name
Thomas Fan
Degrees
M.P.H
Institution
DongHua University
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1176
Initial CDAS Request Approval
Jan 2, 2024
Title
Study on survival prediction method of lung cancer patients based on multimodal data
Summary
This study aims to use patients' medical data, mainly including CT image data and clinical follow-up data, to establish a patient survival prediction model, which mainly needs to solve the problems of medical CT image feature extraction, clinical follow-up data feature selection and multi-modal data feature fusion for survival prediction. Finally, a model with good predictive performance is obtained, which can provide reference for the decision-making of patients' families and the selection of treatment plans by doctors.
Aims
Medical image feature extraction model
Clinical data feature selection model
Multimodal data fusion model
Survival prediction model
Collaborators
Song Donghua University