Use of artificial neural network for medical risk assessment analysis

Keivani Hafshejani, M. and Sattari Naeini, M. and Mohammadsharifi, A. and Langari, A. (2012) Use of artificial neural network for medical risk assessment analysis. LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION, 9 (4). pp. 923-925.

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Abstract

For new medical products and new drugs, unanticipated side effects that rise after consuming the new product is a dominant factor in decision making. In this project, an artificial neural network (NN) engine is designed and developed by the authors to the aim of a medical risk assessment. Firstly, an appropriate NN system is designed and trained. We mostly concerned with the procedure of how the developed NN construction and training. The designed NN for this case has three layers of neuron. These three layers include an input layer, a hidden layer and finally an output layer, with 25 neurons in the hidden layer. The results from NN models can match the data used for training. Hafshejani M K, Sattari Naeini M, Mohammadsharifi A, Langari A. Use of Artificial Neural Network for Medical Risk Assessment Analysis. Life Sci J 2012;9(4):923-925] (ISSN:1097-8135). http://www.lifesciencesite.com. 143

Item Type: Article
Uncontrolled Keywords: Medical risk assessment; Neural network (NN)
Subjects: WL Nervous system
Depositing User: zahra bagheri .
Date Deposited: 14 Aug 2017 07:55
Last Modified: 14 Aug 2017 07:55
URI: http://eprints.skums.ac.ir/id/eprint/2904

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