Development of a 13-item Short Form for Fugl-Meyer Assessment of Upper Extremity Scale Using a Machine Learning Approach

Lin, Gong-HongGong-HongLinWang, IngaIngaWangSHIH-CHIEH LEECHIEN-YU HUANGWang, Yi-ChingYi-ChingWangCHING-LIN HSIEH2023-07-042023-07-042023-02-0100039993https://scholars.lib.ntu.edu.tw/handle/123456789/633308To develop and validate a short form of the Fugl-Meyer Assessment of Upper Extremity Scale (FMA-UE) using a machine learning approach (FMA-UE-ML). In addition, scores of items not included in the FMA-UE-ML were predicted.enMachine learning; Motor skills; Patient outcome assessment; Rehabilitation; Stroke; Upper extremityDevelopment of a 13-item Short Form for Fugl-Meyer Assessment of Upper Extremity Scale Using a Machine Learning Approachjournal article10.1016/j.apmr.2023.01.005367368092-s2.0-85151410367https://api.elsevier.com/content/abstract/scopus_id/85151410367