Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables.

Journal: The bone & joint journal
PMID:

Abstract

AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).

Authors

  • Chapman Wei
    Department of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.
  • Theodore Quan
    George Washington University School of Medicine, Washington, DC 20037, USA.
  • Kevin Y Wang
    Department of Orthopedic Surgery, The Johns Hopkins University, Baltimore, MD.
  • Alex Gu
    Department of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.
  • Safa C Fassihi
    Department of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.
  • Cynthia A Kahlenberg
    Adult Reconstruction and Joint Replacement Division, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York, USA.
  • Michael-Alexander Malahias
    Adult Reconstruction and Joint Replacement Division, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York, USA.
  • Jiabin Liu
    School of Computer and Control Engineering, University of Chinese Academy Sciences, Beijing 100190, China.
  • Savyasachi Thakkar
    Johns Hopkins Department of Orthopaedic Surgery, Adult Reconstruction Division, John Hopkins Medicine, Baltimore, Maryland, USA.
  • Alejandro Gonzalez Della Valle
    The Stavros Niarchos Foundation Complex Joint Reconstruction Center, Department of Orthopaedic Surgery, Hospital for Special Surgery, Washington, District of Columbia, USA.
  • Peter K Sculco
    The Stavros Niarchos Foundation Complex Joint Reconstruction Center, Department of Orthopaedic Surgery, Hospital for Special Surgery, Washington, District of Columbia, USA.