NEURAL NETWORK APPLICATIONS IN PHYSICAL MEDICINE AND REHABILITATION1
- 1 July 1999
- journal article
- research article
- Published by Wolters Kluwer Health in American Journal of Physical Medicine & Rehabilitation
- Vol. 78 (4) , 392-398
- https://doi.org/10.1097/00002060-199907000-00022
Abstract
The purpose of this article is to provide an overview of neural networks and their applications in physical medicine and rehabilitation. Conventional statistical models may present certain limitations that can be overcome by neural networks. We show what neural networks are, how they "learn" regularities from the data, and how they can classify previously unseen cases. We present advantages and disadvantages of using neural networks and compare them with regression models. We explain how neural networks can be used as statistical tools for making inferences using the example of a prognostic model that predicts ambulation after spinal cord injury.Keywords
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