A rule-based fuzzy diagnostics decision support system for tuberculosis
dc.contributor.author | Semogan, April Rose C. | |
dc.contributor.author | Gerardo, Bobby D. | |
dc.contributor.author | Tanguilig, Bartolome T. III | |
dc.contributor.author | de Castro, Joel T. | |
dc.contributor.author | Cervantes, Louie F. | |
dc.date.accessioned | 2023-03-22T06:03:41Z | |
dc.date.available | 2023-03-22T06:03:41Z | |
dc.date.issued | 2011-11-03 | |
dc.identifier.citation | Semogan, A. R. C., Gerardo, B. D., Tanguilig III, B. T., de Castro, J. T., & Cervantes, L. F. (2011). A rule-based fuzzy diagnostics decision support system for tuberculosis. In 2011 Ninth International Conference on Software Engineering Research, Management and Applications (pp. 60-63). IEEE. | en |
dc.identifier.isbn | 9780769544908 | |
dc.identifier.uri | http://repository.wvsu.edu.ph/handle/123456789/237 | |
dc.description.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. | en |
dc.language.iso | en | en |
dc.publisher | IEEE | en |
dc.subject | Fuzzy systems | en |
dc.subject | rule-based | en |
dc.subject | diagnostics | en |
dc.subject | medical support | en |
dc.subject | expert system | en |
dc.subject | data mining | en |
dc.subject | Fuzzy logic | en |
dc.subject | Diseases | en |
dc.subject | Decision support systems | en |
dc.subject | Medical diagnostic imaging | en |
dc.subject | Cancer | en |
dc.subject | Lungs | en |
dc.subject | fuzzy set theory | en |
dc.subject | health care | en |
dc.subject | knowledge based systems | en |
dc.subject | medical diagnostic computing | en |
dc.subject | rule-based fuzzy diagnostics decision support system | en |
dc.subject | pulmonary physicians | en |
dc.subject | clinical decision support system | en |
dc.subject | rule-based method | en |
dc.subject | diagnosis generation | en |
dc.subject.lcsh | Tuberculosis | en |
dc.subject.lcsh | Decision support systems | en |
dc.subject.mesh | Diagnosis | en |
dc.subject.mesh | Tuberculosis | en |
dc.title | A rule-based fuzzy diagnostics decision support system for tuberculosis | en |
dc.type | Conference paper | en |
dcterms.accessRights | Open access | en |
dc.citation.journaltitle | Proceedings - 2011 9th International Conference on Software Engineering Research, Management and Applications, SERA 2011 | en |
dc.citation.firstpage | 60 | en |
dc.citation.lastpage | 63 | en |
dc.identifier.doi | 10.1109/SERA.2011.30 | |
local.isIndexedBy | Scopus | en |
dc.subject.sdg | SDG 3 - Good health and well-being | en |
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