A Rule-Based Fuzzy Diagnostics Decision Support System for Tuberculosis

Author

Semogan, April Rose C ; Gerardo, Bobby D. ; Tanguilig, B.T. ; de Castro, J.T. ; Cervantes, Louie F.

Author_Institution

Inst. of ICT, West Visayas State Univ., Iloilo City, Philippines

fYear

2011

fDate

10-12 Aug. 2011

Firstpage

60

Lastpage

63

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.

Keywords

data mining; decision support systems; diseases; fuzzy logic; fuzzy set theory; health care; knowledge based systems; medical diagnostic computing; clinical decision support system; data mining; diagnosis generation; fuzzy logic; healthcare; pulmonary physicians; rule-based fuzzy diagnostics decision support system; rule-based method; tuberculosis; Cancer; Decision support systems; Diseases; Fuzzy logic; Lungs; Medical diagnostic imaging; Fuzzy system; data mining; diagnostics; expert system; medical support; rule-based;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering Research, Management and Applications (SERA), 2011 9th International Conference on

Conference_Location

Baltimore, MD

Print_ISBN

978-1-4577-1028-5

Type

conf

DOI

10.1109/SERA.2011.30

Filename

6065619