Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/138746
Title: Medical diagnosis : are artificial intelligence systems able to diagnose the underlying causes of specific headaches?
Authors: Farrugia, Anthony
Al-Jumeily, Dhiya
Al-Jumaily, Mohammed
Hussain, Abir
Lamb, David
Keywords: Artificial intelligence -- Medical applications
Medical informatics
Computational intelligence
Medicine -- Data processing
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Citation: Farrugia, A., Al-Jumeily, D., Al-Jumaily, M., Hussain, A., & Lamb, D. (2013, December). Medical diagnosis: Are artificial intelligence systems able to diagnose the underlying causes of specific headaches?. In 2013 Sixth International Conference on Developments in eSystems Engineering (pp. 376-382). IEEE.
Abstract: Artificial intelligence is the capability of computing machines to perform at par with humans in some cognitive tasks. Since its conception in the 1940s, AI has ambitiously evolved to naturally and comfortably immerse in extraordinary and multidisciplinary fields including computer science, education, engineering and medicine. This survey aims to provide and highlight the importance of AI work in the field of medical informatics and biomedicine. We have reviewed latest AI research in this immense field of medical science with special attention given to medical diagnosis. Various intelligent computing tools from rule-based expert systems and fuzzy logic to neural networks and genetic algorithms used in medical diagnosis were considered. We have explored hydrocephalus, a medical condition causing headaches. We also analysed a prototype of what is known as NeuroDiary Web application that is currently being tested as a software mobile application for collecting data of patients with hydrocephalus. We finally propose the development of an expert mobile application system to assist clinicians in the diagnosis, analysis and treatment of hydrocephalus.
URI: https://www.um.edu.mt/library/oar/handle/123456789/138746
Appears in Collections:Scholarly Works - FacEMAMAn

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