People with the same diagnosis (e.g. unspecific cLBP) could have very different functioning and disability profiles. Therefore, one has to go beyond the diagnosis of a health condition to entirely understand the patient story.
The International classification of functioning (ICF) of the WHO provides a scientific and operational basis to understand, describe and evaluate health, health- related conditions, outcomes and determinants. The aim of the project is to build a digital “Personal Functioning Coach” based on the ICF- model in chronic low back pain patients. With machine learning algorithms, the model will be trained on an existing back pain dataset and further developed for a decision support tool in the treatment of cLBP patients. It will help to classify functioning into various dimension and provides a score to visualize deficits. Therewith, it should assist medical professionals in a telemedicine approach to treat patients with cLBP.