Applying Machine Learning on Patient-Reported Data to Model the Selection of Appropriate Treatments for Low Back Pain: A Pilot Study

Wendy Oude Nijeweme-d'Hollosy, Mannes Poel, Lex van Velsen, Remko Soer, Karin Groothuis-Oudshoorn, Patrick Stegeman, Hermie J. Hermens

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    The objective of this pilot study was to determine whether machine learning can be applied on patient-reported data to model decision-making on treatments for low back pain (LBP). We used a database of a university spine centre containing patient-reported data from 1546 patients with LBP. From this dataset, a training dataset with 354 features (input data) was labelled on treatments (output data) received by these patients. For this pilot study, we focused on two treatments: pain rehabilitation and surgery. Classification algorithms in WEKA were trained, and the resulting models were validated during 10-fold cross validation. Next to this, a test dataset was constructed - containing 50 cases judged on treatments by 4 master physician assistants (MPAs) - to test the models with data not used for training. We used prediction accuracy and average area under curve (AUC) as performance measures. The interrater agreement among the 4 MPAs was substantial (Fleiss Kappa 0.67). The AUC values i ndicated small to medium (machine) learning effects, meaning that machine learning on patient-reported data to model decision-making processes on treatments for LBP seems possible. However, model performances must be improved before these models can be used in real practice.
    Original languageEnglish
    Title of host publicationProceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies
    Subtitle of host publicationVol. 5: HEALTHINF
    EditorsFederico Cabitza, Ana Fred, Hugo Gamboa
    PublisherSciTePress
    Pages117-124
    Number of pages8
    ISBN (Print)978-989-758-398-8
    Publication statusPublished - 24-Feb-2020
    Event13th International Joint Conference on Biomedical Engineering Systems and Technologies - Valetta, Malta
    Duration: 24-Feb-202026-Feb-2020

    Conference

    Conference13th International Joint Conference on Biomedical Engineering Systems and Technologies
    Country/TerritoryMalta
    CityValetta
    Period24/02/202026/02/2020

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