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

    OnderzoeksoutputAcademicpeer review

    3 Citaten (Scopus)

    Samenvatting

    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.
    Originele taal-2English
    TitelProceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies
    SubtitelVol. 5: HEALTHINF
    RedacteurenFederico Cabitza, Ana Fred, Hugo Gamboa
    UitgeverijSciTePress
    Pagina's117-124
    Aantal pagina's8
    ISBN van geprinte versie978-989-758-398-8
    StatusPublished - 24-feb.-2020
    Evenement13th International Joint Conference on Biomedical Engineering Systems and Technologies - Valetta, Malta
    Duur: 24-feb.-202026-feb.-2020

    Conference

    Conference13th International Joint Conference on Biomedical Engineering Systems and Technologies
    Land/RegioMalta
    StadValetta
    Periode24/02/202026/02/2020

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