Machine Learning Based Linking of Patient Reported Outcome Measures to WHO International Classification of Functioning, Disability, and Health Activity/Participation Categories.

Habenicht, Richard; Fehrmann, Elisabeth; Blohm, Peter; Ebenbichler, Gerold; Fischer-Grote, Linda; Kollmitzer, Josef; Mair, Patrick; Kienbacher, Thomas

Habenicht, Richard; Fehrmann, Elisabeth; Blohm, Peter; Ebenbichler, Gerold; Fischer-Grote, Linda; Kollmitzer, Josef; Mair, Patrick; Kienbacher, Thomas.

Affiliation

Habenicht R; Karl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Fehrmann E; Karl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Blohm P; Department of Psychology, Karl Landsteiner University of Health Sciences, 3500 Krems, Austria.
Ebenbichler G; Karl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Fischer-Grote L; Karl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Kollmitzer J; Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, 1090 Vienna, Austria.
Mair P; Karl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Kienbacher T; Department of Biomedical Engineering, TGM College for Higher Vocational Education, 1200 Vienna, Austria.

J Clin Med ; 12(17)2023 Aug 28.

Article de En | MEDLINE | ID: mdl-37685676

Mots clés

international classification of functioning; low back pain; machine learning; patient reported outcome measures; random forest

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Aspects: Patient_preference Langue: En Journal: J Clin Med Année: 2023 Type de document: Article Pays d'affiliation: Autriche

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