PREDICTION OF WALKING ABILITY WITH A PROSTHESIS IN LOWER LIMB AMPUTEES BY USING ARTIFICIAL INTELLIGENCE ALGORITHMS
DOI:
https://doi.org/10.24867/11BE27ArsenovicKeywords:
prediction, SVM algorithm, decision tree, amputation, rehabilitationAbstract
The topic of this paper is prediction of ability to walk with prosthesis after lower limb amputation, based on artificial intelligence algorithms. The paper describes the implementation of a predictive model for amputees walking ability after prosthetic rehabilitation treatment using SVM method. Different features are tested by decision tree method, in order to maximize model accurаcy.
References
[1] A. Кнежевић, Фактори који утичу на ниво оспособљeности за ход уз помоћ протезе након ампутације доњих екстремитета, Нови Сад, Медицински факултет, 2014.
[2] M. Kuhn, K. Johnson, Applied Predictive Modeling, New York, Springer, 2013.
[3] В. Црнојевић, Препознавање облика за инжењере, Нови Сад, Факултет техничких наука, 2014.
[2] M. Kuhn, K. Johnson, Applied Predictive Modeling, New York, Springer, 2013.
[3] В. Црнојевић, Препознавање облика за инжењере, Нови Сад, Факултет техничких наука, 2014.
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Published
2020-12-27
Issue
Section
Electrotechnical and Computer Engineering
