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Erschienen in: Sport Sciences for Health 1/2018

08.09.2017 | Original Article

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

verfasst von: Atiye Karimzadehfini, Reza Mahdavinejad, Vahid Zolaktaf, Babak Vahdatpour

Erschienen in: Sport Sciences for Health | Ausgabe 1/2018

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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.
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Metadaten
Titel
Forecasting of rehabilitation treatment in sufferers from lateral displacement of patella using artificial intelligence
verfasst von
Atiye Karimzadehfini
Reza Mahdavinejad
Vahid Zolaktaf
Babak Vahdatpour
Publikationsdatum
08.09.2017
Verlag
Springer Milan
Erschienen in
Sport Sciences for Health / Ausgabe 1/2018
Print ISSN: 1824-7490
Elektronische ISSN: 1825-1234
DOI
https://doi.org/10.1007/s11332-017-0397-y

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