Predicting osteoarthritic knee rehabilitation outcome by using a prediction model developed by data mining techniques

International Journal of Rehabilitation Research

Volumn 27, Issue 1, 2004, Pages 65-69

  Tam, Sing Fai ^a   Cheing, Gladys L Y ^a   Hui Chan, Christina W Y ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Artificial neural networks; Exercise; Osteoarthritic knee; Transcutaneous Electrical Nerve Stimulation

Indexed keywords

DECISION MAKING; NEURAL NETWORKS; PATIENT TREATMENT;

KNEE REHABILITATION; RANK-ORDER CORRELATION;

PATIENT REHABILITATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL PROTOCOL; EXERCISE; HUMAN; KNEE ARTHRITIS; KNEE OSTEOARTHRITIS; MODEL; OSTEOARTHRITIS; OUTCOMES RESEARCH; PHYSIOTHERAPY; PREDICTION; PRIORITY JOURNAL; TRANSCUTANEOUS NERVE STIMULATION;

COMBINED MODALITY THERAPY; EXERCISE THERAPY; HUMANS; NEURAL NETWORKS (COMPUTER); OSTEOARTHRITIS, KNEE; RANDOMIZED CONTROLLED TRIALS; TRANSCUTANEOUS ELECTRIC NERVE STIMULATION;

EID: 1642406568     PISSN: 03425282     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004356-200403000-00009     Document Type: Article

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