Abstract
In recent years, clinical decision support systems (CDSSs) play a vital role in the field of medical informatics. CDSSs help the medical practitioners in facing challenging medical problems, such as diagnosis and therapy. One of the major difficulties for any medical practitioner is to appropriately and more accurately diagnose a disease. To meet the challenge, an Action Rule based Diagnostic System (ARDS) is proposed for erythemato-squamous disease. An Adaptive Neuro Fuzzy Inference System (ANFIS) mechanism is employed to manage knowledge acquired and found from the system. Action rule and fuzzy rule based classifier have been developed in accordance with the severity levels of the diseases, the results obtained endorses the main objective of the system which is to develop an authentic and reliable tool to reduce the human errors and improve the quality of medical care provided to the public.
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Deepa, T., Balasubramaniam, S., Akilandeswari, J., Gopalan, N.P. (2012). Knowledge Management Techniques for Analysis of Clinical Databases. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_22
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DOI: https://doi.org/10.1007/978-3-642-29280-4_22
Publisher Name: Springer, Berlin, Heidelberg
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