A rule-based fuzzy diagnostics decision support system for tuberculosis
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Abstract
The system is specialized for pulmonary physicians focusing on tuberculosis and for patients already diagnosed with tuberculosis. The main focus for the development of the system is on the architecture and algorithm used to find the probable class of tuberculosis a patient may have. The class of tuberculosis is determined by using a rule base populated by rules made for the different classes of tuberculosis. The clinical decision support system integrated with Fuzzy Logic and Rule-based method that generates classes of tuberculosis suits the needs of pulmonary physicians and lessens the time consumed in generating diagnosis.
Contributes to SDGs
Recommended Citation
Semogan, A. R. C., Gerardo, B. D., Tanguilig, B. T., III, de Castro, J. T., & Cervantes, L. F. (2011). A rule-based fuzzy diagnostics decision support system for tuberculosis.Type
Conference paperISBN
9780769544908Keywords
Fuzzy systems rule-based diagnostics medical support expert system data mining Fuzzy logic Diseases Decision support systems Medical diagnostic imaging Cancer Lungs fuzzy set theory health care knowledge based systems medical diagnostic computing rule-based fuzzy diagnostics decision support system pulmonary physicians clinical decision support system rule-based method diagnosis generation
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