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Designing personal treatment for breast cancer

Principal Investigator
Name
Nan Wang
Degrees
M.D.
Institution
Dalian University of Technology
Position Title
Student
Email
About this CDAS Project
Study
HIPB (Learn more about this study)
Project ID
HIPB-8
Initial CDAS Request Approval
Mar 25, 2022
Title
Designing personal treatment for breast cancer
Summary
There are few recommendations for personalized treatments for breast cancer patients; the one known is published in Information Systems Research (ISR), but it is based on some experimental data and uses a model-based optimization approach. The results obtained by these methods are largely subject to validation and their effectiveness in practical hospital applications remains to be tested. Therefore, the use of real multimodal data and a data-driven approach to recommend personalized treatment plans for patients is the focus of our attention.
Aims

1.Provide personalized treatment plans for breast cancer patients, not just make diagnoses or predictions
2.Bridging the gap between existing recommended personalized treatment plans
3.Provide decision aids to radiation oncologists in real hospitals when arranging treatment plans for their patients

Collaborators

Liu Yang, School of Economics and Management, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, China
Bi Donghai, School of Economics and Management, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, China
Lin Tao, School of Economics and Management, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, China