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Détail de l'auteur
Auteur Chien-Yu Huang |
Documents disponibles écrits par cet auteur
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Article
Objective To 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. Design Second[...]Article
Objectives To (1) develop a computerized adaptive test for gross motor skills (GM-CAT) as a diagnostic test and an outcome measure, using the gross motor skills subscale of the Comprehensive Developmental Inventory for Infants and Toddlers (CDI[...]Article
Shih-Chieh Lee ; Kuan-Wei Chen ; Chien-Yu Huang ; Pei-Chi Li ; Ton-Lin Hsieh ; Ya-Chen Lee ; I-Ping Hsueh |Importance: Patients with schizophrenia tend to have severe deficits in theory of mind, which may limit their interpretation of others' behaviors and thereby hamper social participation. Commonly used measures of theory of mind assess the abilit[...]Article
Shih-Chieh Lee ; Inga Wang ; Gong-Hong Lin ; Pei-Chi Li ; Ya-Chen Lee ; Chia-Yeh Chou ; Chien-Yu Huang ; Ching-Lin Hsieh |Importance: Several short forms of the Stroke Impact Scale Version 3.0 (SIS 3.0) have been proposed in order to decrease its administration time of about 20 min. However, none of the short-form scores are comparable to those of the original meas[...]Article
Objective This study aimed to develop the Computerized Adaptive Test of Motor Development (MD-CAT) in preschool children based on multidimensional Rasch analysis. Design A retrospective study with cross-sectional design. Setting A med[...]Article
Objective To investigate the psychometric properties and efficiency of the computerized adaptive testing system for measuring self-care performance (CAT-SC). The psychometric properties included intrarater and interrater reliabilities, concur[...]Article
Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke
Gong-Hong Lin ; Chih-Ying Li ; Ching-Fan Sheu ; Chien-Yu Huang ; Shih-Chieh Lee ; Yu-Hui Huang ; Ching-Lin Hsieh |Objective This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) [...]Article
Objective To validate the psychometric properties of the Balance Assessment in Sitting and Standing Positions, including validity (unidimensionality and concurrent validity), reliability (Rasch reliability), and responsiveness (compared with th[...]