Vasant, P. (2018) A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques. IGI Global, pp. 130-145. ISBN 9781522547709; 152254769X; 9781522547693
Full text not available from this repository.Abstract
One of the most popular applications of artificial intelligence within the medical field is developing medical diagnosis systems. Because artificial-intelligence-based techniques are able to use pre-data and instant data flow for making predictions, it is an easy task to design intelligent systems that can give advice to people or perform diagnosis-based decision making. So, it has been an important research interest to design and develop intelligent systems, which are able to make diagnoses for medical purposes. In this sense, the objective of this chapter is to introduce a general medical diagnosis system that can be used for detecting diseases. In detail, the system employs artificial neural networks and swarm-intelligencebased techniques to form a general framework of intelligent diagnosis. The chapter briefly focuses on the infrastructure of the system and discusses its diagnosis potential. © 2018, IGI Global. All rights reserved.
Item Type: | Book |
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Additional Information: | cited By 6 |
Uncontrolled Keywords: | Behavioral research; Decision making; Intelligent systems; Neural networks; Swarm intelligence, Data flow; Intelligent diagnosis; Medical diagnosis system; Medical fields; Research interests; Swarm intelligence techniques, Diagnosis |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:37 |
Last Modified: | 09 Nov 2023 16:37 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/10417 |