Probabilistic gait classification in children with cerebral palsy: A Bayesian approach

Research in Developmental Disabilities

Volumn 32, Issue 6, 2011, Pages 2542-2552

  Van Gestel, Leen ^a   De Laet, Tinne ^b   Di Lello, Enrico ^b   Bruyninckx, Herman ^b   Molenaers, Guy ^b,c   Van Campenhout, Anja ^b,c   Aertbeliën, Erwin ^b   Schwartz, Mike ^d,e   Wambacq, Hans ^b   De Cock, Paul ^c   Desloovere, Kaat ^a,c  

^a KU Leuven   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^d GILLETTE CHILDREN'S SPECIALTY HEALTHCARE   (United States)

^e UNIVERSITY OF MINNESOTA   (United States)

Author keywords

3D gait analysis; Bayesian; Cerebral palsy; Children; Classification; Machine learning; Probabilistic; Psychomotor development; Walking

Indexed keywords

ACCURACY; ANKLE; ARTICLE; BAYES THEOREM; CEREBRAL PALSY; CHILD; CLASSIFICATION; CLINICAL ASSESSMENT; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; GAIT; HUMAN; JOINT FUNCTION; KNEE; MAJOR CLINICAL STUDY; PRACTICE GUIDELINE; PROBABILITY; STATISTICAL MODEL; VALIDATION PROCESS;

ANKLE JOINT; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CEREBRAL PALSY; CHILD; DATABASES, FACTUAL; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; KNEE JOINT; MODELS, BIOLOGICAL;

EID: 80053647010     PISSN: 08914222     EISSN: 18733379     Source Type: Journal    
DOI: 10.1016/j.ridd.2011.07.004     Document Type: Article

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