Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression.

Journal: Computers in biology and medicine
Published Date: Oct 4, 2018

Abstract

BACKGROUND: The progression of the spinal curve represents one of the major concerns in the assessment of Adolescent Idiopathic Scoliosis (AIS). The prediction of the shape of the spine from the first visit could guide the management of AIS and provide the right treatment to prevent curve progression.

Authors

  • Edgar García-Cano
    École de technologie supérieure, Université du Québec, 1100 Notre-Dame Street West, Montreal, Quebec, H3C 1K3, Canada. Electronic address: gcano.edgar@gmail.com.
  • Fernando Arámbula Cosío
    Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Circuito Escolar S/N, Ciudad Universitaria, México D.F, C.P. 04510, Mexico.
  • Luc Duong
  • Christian Bellefleur
    Research Center, Sainte-Justine Hospital, 3175 Côte-Sainte-Catherine, Montreal, Quebec, Canada.
  • Marjolaine Roy-Beaudry
    Research Center, Sainte-Justine Hospital, 3175 Côte-Sainte-Catherine, Montreal, Quebec, Canada.
  • Julie Joncas
    Research Center, Sainte-Justine Hospital, 3175 Côte-Sainte-Catherine, Montreal, Quebec, Canada.
  • Stefan Parent
    Research Center, Sainte-Justine Hospital, 3175 Côte-Sainte-Catherine, Montreal, Quebec, Canada.
  • Hubert Labelle
    Research Center, Sainte-Justine Hospital, 3175 Côte-Sainte-Catherine, Montreal, Quebec, Canada.

Keywords

External Resources

Popular Topics
Recent Journals