Prediction and decision support systems for knee osteoarthritis

The ultimate objective is to produce a data-driven computational tool to support clinical decision making and to find major risk factors and determinants of OA and its progression.

Project information

Project duration

-

Funded by

Multiple sources (Spearhead projects of centres for multidisciplinary research)

Project coordinator

University of Oulu

Contact information

Contact person

Project description

Osteoarthritis (OA) is the most common joint disease in the world. Despite the extensive research, the etiology of OA is still poorly understood and its progression is highly difficult to predict clinically. However, large amount of accumulated clinical and research data exists, which enables new possibilities to understand OA progression when analysed with novel machine learning based methods. The ultimate objective is to produce a data-driven computational tool to support clinical decision making and to find major risk factors and determinants of OA and its progression. The research project will also have a strong focus on state-of-the-art machine learning approaches allowing to combine patients’ clinical background and imaging data.

Strategic research project of the University of Oulu
Focus institute: Infotech Oulu
Faculty: Faculty of Medicine (FoM)