Pandey, Sanjib Raj, Ma, Jixin, Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 and Njovu, Chiyaba (2013) A fuzzy logic-based decision support system for the diagnosis of arthritis pain for rheumatic fever patients. In: Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013. Springer International Publishing, Switzerland, pp. 259-264. ISBN 978-3319026206 (doi:10.1007/978-3-319-02621-3_18)

Full text not available from this repository. (Request a copy)

Abstract

This paper describes our conceptual ideas and future development framework of Decision support System to diagnose of arthritis pain and determine whether the pain is associated with rheumatic fever or not. Also, it would be used for diagnosing arthritis pain (only for rheumatic fever patients), in four different stages, namely: Fairly Mild, Mild, Moderate and Severe. Our diagnostic tool will allow doctors to register symptoms describing arthritis pain using numerical values that are estimates of the severity of pain that a patient feels. These values are used as input parameters to the system, which invokes rules to determine a value of severity for the arthritis pain.

Item Type:	Conference Proceedings
Title of Proceedings:	Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013
Additional Information:	[1] This paper is published in Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. 2013. Springer International Publishing. [2] The paper was first presented at Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence held from 10-12 December 2013 in Cambridge, UK. [3] ISBN: 9783319026206 (print): 9783319026213 (online).
Uncontrolled Keywords:	artificial intelligence, data mining, knowledge discovery, rheumatic fever, arthritis pain, temporal logic, fuzzy logic, fuzzy rules, knowledge-based, fuzzy inference, defuziffication
Subjects:	Q Science > QA Mathematics > QA76 Computer software R Medicine > R Medicine (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/11419

Actions (login required)

View Item