Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg

A Personalized Web Application to Predict Changes in Knee Pain among Patients with Osteoarthritis Participating at the GLA:D® program

92

Nicht eingeplant

20m

Von-Melle-Park 4

Poster

Beschreibung

GLA:Dai (https://apps.cosy.bio/gladai) is a web application for predicting individualized changes in knee pain for patients considering enrollment with the GLA:D® program (Good Life with osteoArthritis in Denmark). The statistical model is based on self-reported patient information to predict the individual change in pain intensity (VAS scale 0 to 100) from before to after GLA:D® enrollment. We select important variables from 51 candidates using the "Gini impurity" and clinical reasoning. We trained a random forest regression model and compared it against predicting the mean change in pain. Our individualized model yields a 7% improvement, contributes to personalized healthcare by enabling patients to estimate their change in pain intensity, and allows for more data-driven treatment decisions.

Keywords

osteoarthritis,
prediction,
pain Intensity,
web-based tool,
exercise therapy