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https://www.researchgate.net/publication/224265655_A_Rule-Based_Fuzzy_Diagnostics_Decision_Support_System_for_Tuberculosis
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 ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000006065619
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.
https://ijcat.com/archives/volume5/volume5issue2.pdf
domain experts [5]. [13] , proposed a rule based Fuzzy Diagnostics and a decision support system which was intended to be used by pulmonary physicians, which will analyz e the class of tuberculosis, by providing inputs (TB symptoms) into the system. In the formulation of fuzzy set system, the ranges of scores were classified in each symptom.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3970105/
The fuzzy AIRS is a fuzzy-based AIRS strategy for tuberculosis diagnosis detection. In designing the anomaly-based fuzzy AIRS, the Fuzzy Logic Controller was applied, which converts the continuous inputs into fuzzy sets. Ten features of tuberculosis diagnosis have been defined for the fuzzy input. This adds more dynamic behaviour to the system ...Cited by: 16
https://www.sciencedirect.com/science/article/pii/S2352914818302235
The system was developed using fuzzy logic for class assignment process and a rule–based fuzzy diagnostics decision support system to assign class labels for tuberculosis. The authors developed 16 rules for conditions and 323 sets of rules for the determination of the class of tuberculosis. The system evaluated the level of risk of ...Cited by: 1
https://www.sciencedirect.com/science/article/pii/S0208521619303468
From 2004 to 2007 few techniques were used such as fuzzy inference system, rule-based fuzzy logic, ANFIS and fuzzy expert system, whereas after that a number of different and novel techniques such as; Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy Reed-Frost model, genetic neuro-fuzzy and Fuzzy Decision Support System (FDSS) were used in ...Cited by: 1
http://www.ijcat.com/archives/volume5/issue2/ijcatr05021001.pdf
fuzzy expert system was designed based on clinical observations, medical diagnosis and the expert’s knowledge. They selected 30 patients with tuberculosis and computed the results that were in the range of predefined limits by the domain experts [5]. [13], proposed a rule based Fuzzy Diagnostics and a decision support system
https://www.researchgate.net/scientific-contributions/75048446_Joel_T_de_Castro
Joel T. de Castro's 3 research works with 14 citations and 1,164 reads, including: Flash Flood Prediction Model based on Multiple Regression Analysis for Decision Support System
https://gavinpublishers.com/articles/research-article/Biosensors-and-Bioelectronics-Open-Access/an-expert-system-for-assistance-in-human-intestinal-parasitosis-diagnosis
The system was developed using fuzzy logic for class assignment process and rule-based fuzzy diagnostics decision support system to assign class labels for tuberculosis. Authors come up with 16 rules for conditions and 323 sets of rules for the determination of the class of tuberculosis. The system evaluated the level of risk of tuberculosis ...Author: Oscar Takam Nkamgang, Daniel Tchiotsop, Hilaire Bertand Fotsin, Pierre Kisito Talla
https://aip.scitation.org/doi/abs/10.1063/1.4958498
Jul 21, 2016 · The incapability of children to produce sputum becomes one of the difficulties. Sputum is used to diagnose a person suffering from tuberculosis, based on Mycobacterium tuberculosis in sputum. In this paper, Mamdani, Tsukamoto and Sugeno-types Fuzzy Inference System are applied to assist the tuberculosis diagnosis.Cited by: 4
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