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A General Medical Diagnosis System Formed by Artificial Neural Networks and Swarm Intelligence Techniques

A General Medical Diagnosis System Formed by Artificial Neural Networks and Swarm Intelligence Techniques
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Author(s): Pandian Vasant (University of Technology Petronas, Malaysia)
Copyright: 2018
Pages: 16
Source title: Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Source Author(s)/Editor(s): Utku Kose (Suleyman Demirel University, Turkey), Gur Emre Guraksin (Afyon Kocatepe University, Turkey)and Omer Deperlioglu (Afyon Kocatepe University, Turkey)
DOI: 10.4018/978-1-5225-4769-3.ch006

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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-intelligence-based techniques to form a general framework of intelligent diagnosis. The chapter briefly focuses on the infrastructure of the system and discusses its diagnosis potential.

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