AI for prediction of prostate cancer progression
Prostate cancer is the most common form of cancer in men, and it has great impact on the lives of the patients and their relatives.
Project period
Start: October 2019
End: December 2023
Aim
The project used machine learning to analyse big data from previous medical history, including diagnosis codes, biochemical laboratory results and medical registration to find signals to distinguish who would get metastasis among men with prostate cancer.
The project used a range of data sets, including text mining of data from medical records – using 15 years of data when accessible.
Participants
- Department of Clinical Biochemistry and Pharmacology, OUH
- Department of Urology, OUH
- Applied Data & AI Science, The Maersk Mc-Kinney Moller Institute, SDU
- Research Unit of General Practice, SDU
- Brunak Group, University of Copenhagen
Søren Paludan Sheikh
Professor, MD
Odense University Hospital, Department of Clinical Biochemistry
(+45) 2138 0410 soeren.sheikh@rsyd.dk
Marie-Louise Krogh
Senior Project Manager
Odense University Hospital, Department of Clinical Biochemistry
(+45) 5055 8485 mlk@rsyd.dk