Sport Sciences for Health

, Volume 14, Issue 1, pp 37–45 | Cite as

Forecasting of rehabilitation treatment in sufferers from lateral displacement of patella using artificial intelligence

  • Atiye Karimzadehfini
  • Reza Mahdavinejad
  • Vahid Zolaktaf
  • Babak Vahdatpour
Original Article
  • 58 Downloads

Abstract

Objectives

In this research, the application of artificial intelligence methods for data analysis named hybrid artificial neural network (ANN) with teaching learning based optimization (TLBO) algorithm to predict of the rehabilitation treatment for females with lateral displacement of the patella (LDP) is demonstrated.

Methods

The prediction abilities offered using ANN-TLBO model was presented using available data from 48 female patients referred to physical medicine and rehabilitation clinics of Isfahan Ayatollah Kashani medical center and Al Zahra hospital, Iran. In this modeling, clinical characteristics [weight, height, body mass index (BMI), the degree of LDP, affected side and severity of pain] and demographic characteristic (age) were utilized as the input parameters, while the rehabilitation treatment was the output parameter.

Results and discussion

The results indicate a high level of efficient of ANN-TLBO model used with an accuracy level of more than 86%. Therefore, this model can be used successfully for the prediction of rehabilitation treatment for females with LDP.

Keywords

Rehabilitation treatment Lateral displacement of patella Artificial neural network Teaching learning based optimization 

Notes

Acknowledgements

The authors thank the authorities of physical medicine and rehabilitation clinics of Isfahan Ayatollah Kashani medical center and Al Zahra hospital, Iran for their cooperation.

Compliance with ethical standards

Conflict of interest

The authors declared no conflict of interests.

Ethical approval

An institutional review board approved all procedures before testing.

Informed consent

Prior to participation; all subjects were informed of the nature of the study and gave their written consent to participate.

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Copyright information

© Springer-Verlag Italia S.r.l. 2017

Authors and Affiliations

  • Atiye Karimzadehfini
    • 1
  • Reza Mahdavinejad
    • 1
  • Vahid Zolaktaf
    • 1
  • Babak Vahdatpour
    • 2
  1. 1.Department of Sports Injuries and Corrective ExercisesUniversity of IsfahanIsfahanIran
  2. 2.Department of Physical Medicine and RehabilitationIsfahan University of Medical SciencesIsfahanIran

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