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Additional file 1 of Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes

Autor: Verma, Deepika, Jansen, Duncan, Bach, Kerstin, Poel, Mannes, Mork, Paul Jarle, d’Hollosy, Wendy Oude Nijeweme

Additional file 1. Hyperparameters used in the regression models and feature importance of the selected features in the regression and classification models.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9991cfd550af109791b1c8fff8b6b1cc

Additional file 2 of Factors used by general practitioners for referring patients with chronic musculoskeletal pain: a qualitative study

Autor: Slatman, Syl, Mossink, Annemiek, Jansen, Duncan, Broeks, José, van der Lugt, Peter, Prosman, Gert-Jan, d’Hollosy, Wendy Oude Nijeweme

Additional file 2.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35e186c53f4d1c1bcfcaeea574becae1

Towards optimized personalized referral advice and patient satisfaction in chronic musculoskeletal pain

Autor: d'Hollosy, Wendy, Konijnendijk, Annemieke, Bessembinder, Romee, Leeferink, Floor, Broeks, Jose

Publikováno v: ISSUE=8;TITLE=8th Dutch Bio-Medical Engineering Conference, BME 2021

Of all Dutch adults, 1 in 5 has musculoskeletal pain[1]. More than 50% of these people have limited functioning. Experienced disease burden can be reduced by starting an appropriate treatment as early as possible. However, it appears that more than 3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::70e11faba561f5b1924d62774cd457dd
https://research.utwente.nl/en/publications/towards-optimized-personalized-referral-advice-and-patient-satisfaction-in-chronic-musculoskeletal-pain(6fbbcb8d-8fd1-4005-b4e4-ab13234e6910).html

Applying machine learning on patient-reported data to model the selection of appropriate treatments for low back pain: A Pilot Study

Autor: Oude Nijeweme - d'Hollosy, Wendy, van Velsen, Lex, Poel, Mannes, Groothuis-Oudshoorn, Catharina, Soer, Remko, Stegeman, Patrick, Hermens, Hermie, Cabitza, Federico, Fred, Ana, Gamboa, Hugo

Publikováno v: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 5: HEALTHINF, 117-124
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies: Vol. 5: HEALTHINF, 117-124
STARTPAGE=117;ENDPAGE=124;TITLE=Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies
HEALTHINF

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-rep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a28e44a6a6e959f96d84f7bda79cc2bb
https://research.utwente.nl/en/publications/cda9fc1e-ed59-4bdc-8b23-57c4821ae2a5