Female breast cancer risk prediction model based on age division and multi-factor synergy
Principal Investigator
Name
XiangFeng Bu
Degrees
M.C.S.T
Institution
School of Computer Science and Information Engineering, Harbin Normal University
Position Title
master
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1207
Initial CDAS Request Approval
Apr 28, 2023
Title
Female breast cancer risk prediction model based on age division and multi-factor synergy
Summary
In the female breast cancer risk prediction model based on age division and multi-factor synergy, I seek to obtain the risk of breast cancer in women of different age groups, and comprehensively judge the risk of breast cancer in women of different age groups through gender, living habits and other related factors. risk, and get the optimal model through machine learning model training
Aims
Predict the onset age of breast tumors and improve the accuracy by dividing the age of women and multi-factor cooperation
Collaborators
JingYu Liu
YunHong Ding
Kai Liu