Predicting the outcome of intramuscular psoas lengthening in children with cerebral palsy using preoperative gait data and the random forest algorithm.

Detalles Bibliográficos
Publicado en:Gait & Posture Vol. 37; no. 4; pp. 473 - 480
Autores principales: Schwartz, Michael H, Rozumalski, Adam, Truong, Walter, Novacheck, Tom F
Formato: research Journal Article
Publicado: Elsevier B.V. Apr2013
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2013
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      pub: Elsevier B.V.
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        atl: Predicting the outcome of intramuscular psoas lengthening in children with cerebral palsy using preoperative gait data and the random forest algorithm.
      aug:
        au:
          Schwartz, Michael H
          Rozumalski, Adam
          Truong, Walter
          Novacheck, Tom F
        affil: Gillette Children's Specialty Healthcare, St. Paul, MN, United States; University of Minnesota - Twin Cities, Minneapolis, MN, United States. Electronic address: schwa021@umn.edu.
      sug:
        subj:
          Algorithms
          Cerebral Palsy Physiopathology
          Gait Physiology
          Contracture Surgery
          Psoas Muscles Surgery
          Case Control Studies
          Cerebral Palsy Complications
          Child
          Contracture Etiology
          Contracture Physiopathology
          Human
          Psoas Muscles Physiopathology
          Retrospective Design
          Treatment Outcomes
          Child: 6-12 years
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
      ab:
    language: English
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