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.
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Pandey, S.R., Ma, J., Lai, CH., Njovu, C. (2013). A Fuzzy Logic-Based Decision Support System for the Diagnosis of Arthritis Pain for Rheumatic Fever Patients. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXX. SGAI 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-02621-3_18
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DOI: https://doi.org/10.1007/978-3-319-02621-3_18
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