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Neuro-Fuzzy Approach for Diagnosing and Control of Tuberculosis

Jerome M. Gumpy, Ibrahim Goni, Mohammed Isa
2018 International Journal of Computational Science Information Technology and Control Engineering  
The main aim of this research work is to develop a Neuro-Fuzzy system for diagnosing tuberculosis.  ...  The system is structured with to accept symptoms with the help of three domain Medical expertise as inputs that are used to automatically generate rules that are injected in to the knowledge based where  ...  The diagnosing tuberculosis system is based on Neuro-Fuzzy approach. It is designed for diagnosis of tuberculosis disease in human.  ... 
doi:10.5121/ijcsitce.2018.5101 fatcat:ywqkgrw7wzf3df77rrr6jouytm

Applications of Soft Computing Techniques for Pulmonary Tuberculosis Diagnosis

2019 International journal of recent technology and engineering  
Those approaches implemented on diseases diagnosing of pulmonary tuberculosis and obtaining better results in comparison to traditional approaches.  ...  The importance of this review paper is to distinguish the different soft computing approaches used to support pulmonary tuberculosis disease diagnosis, identification, prediction and intelligent classification  ...  Those approaches implemented on diseases diagnosing of pulmonary tuberculosis and obtaining better results in comparison to traditional approaches.  ... 
doi:10.35940/ijrte.c1020.1083s219 fatcat:shhgmex2tzebpnnuqzahf5fpnu

A Decision Support System for Tuberculosis Diagnosability

Navneet Walia, Harsukpreet Singh, Sharad Kumar Tiwari, Anurag Sharma
2015 International Journal of Soft Computing  
In this paper, we are concerned to propose a fuzzy diagnosability approach, which takes value between {0, 1} and based on observability of events, we formalized the construction of diagnoses that are used  ...  The newly proposed approach allows us to deal with problems of diagnosability for both crisp and fuzzy value of input data.  ...  Rule based method using fuzzy logic is implemented to diagnose Mycobacterium tuberculosis bacilli (TB).  ... 
doi:10.5121/ijsc.2015.6301 fatcat:gx2cbkz4pbfvhacuyf4htf4uce

Artificial Intelligence in Diagnosing Tuberculosis: A Review

Syeda Shaizadi Meraj, Razali Yaakob, Azreen Azman, Siti Nuralain Mohd Rum, Azree Shahrel Ahmad Nazri
2019 International Journal on Advanced Science, Engineering and Information Technology  
As of late, many attempts have been made to formulate the strategies to increase the classification accuracy of TB diagnosis using the AI and machine learning approach.  ...  This review paper, aims to describes the diverse AI approaches employed in the diagnosis of TB.  ...  When the bacteria affects and spreads to other parts of the body then it is called Extra Pulmonary Tuberculosis (EPTB).  ... 
doi:10.18517/ijaseit.9.1.7567 fatcat:dbye3d2zwvgurkscm25rd3hlne

Performance of an algorithm based on WHO recommendations for the diagnosis of smear-negative pulmonary tuberculosis in patients without HIV infection

Alonso Soto, Lely Solari, Eduardo Gotuzzo, Roberto Acinelli, Dante Vargas, Patrick Van der Stuyft
2011 Tropical medicine & international health  
objective To evaluate the performance of an algorithm based on WHO recommendations for diagnosis of smear-negative pulmonary tuberculosis in HIV-negative patients. methods We recruited HIV-negative patients  ...  We applied an algorithm based on WHO recommendations to classify patients as having tuberculosis or not.  ...  Acknowledgements We are grateful to Dr Alberto Mantilla for facilitating the recruitment of patients and to Dr. Marie-Laurence Lambert for participating in the design of the study.  ... 
doi:10.1111/j.1365-3156.2010.02715.x pmid:21208352 fatcat:dkkonf3rxbbi5kcxxzuskcp5ha

Blood transcriptional signatures for tuberculosis testing

Simon C Mendelsohn, Stanley Kimbung Mbandi, Mark Hatherill, Thomas J Scriba
2020 The Lancet Respiratory Medicine  
TJS is a co-inventor of patents for the Zak16, Suliman4, and Penn-Nicholson6 (RISK6) signatures that were assessed in the Article by Turner and colleagues. 4 SKM and MH declare no competing interests.  ...  Given the difficulty in diagnosing subclinical (asymptomatic, sputum culture-positive) and paucibacillary (sputum smear-negative, culturepositive) tuberculosis, a latent class modelling approach could  ...  Guidance for studies evaluating the accuracy of biomarker-based nonsputum tests to diagnose tuberculosis. J Infect Dis 2019; 220 (suppl 3): S108-15. 8 Duffy FJ, Thompson EG, Scriba TJ, Zak DE.  ... 
doi:10.1016/s2213-2600(20)30045-x pmid:32178777 pmcid:PMC8919958 fatcat:xgyosjhuzra5dbvxocwhqlktgi

Etiology of size based pulmonary nodules in Asia

Sawang Saenghirunvattana, Noriaki Kurimoto, Chokchai Suwanakijboriharn, Chittisak Napairee, Vitoon Pitiguagool, Chao Saenghirunvattana, Maria Christina Gonzales, Kritsana Sutthisri, Chitchamai Siangproh
2016 The Bangkok Medical Journal  
is an effective tool in diagnosing Asian patients with pulmonary nodules.  ...  The pulmonary nodule is based on size alone regardless of other morphology for instance border, calcification etc.  ...  The final classification of 21-88 mm nodule was identified to have 52% cases of tuberculosis and 48% of these were malignant.  ... 
doi:10.31524/bkkmedj.2016.09.002 fatcat:prgvrwyuwng53nc6u47m2inozu

Medical Suspicion Overcomes Misleading Clinical and Laboratory Aspects of Genitourinary Tuberculosis

Florencia Neffa
2019 Clinical Studies & Medical Case Reports  
Fast and proper diagnosis of tuberculosis is of the essence to provide an optimal treatment and clinical care to the patient.  ...  Specific and effective medication is available, which only evidences the fact that we are failing to diagnose properly and timely this deceiving disease.  ...  a standard unified approach of diagnosis and treatment [8] .  ... 
doi:10.24966/csmc-8801/100075 fatcat:we7jwsn7vbd5pl3mooongzmytm

Data Mining Based Hybrid Intelligent System for Medical Application

Adane Nega, Alemu Kumlachew
2017 International Journal of Information Engineering and Electronic Business  
Data Mining solves the knowledge acquisition problem of rule based reasoning by supplying extracted knowledge to rule based reasoning system.  ...  The PART classification algorithm is selected as best classification algorithm and the rules generated from the PART classifier are used for the development of knowledge base of hybrid intelligent system  ...  PTB-** denotes smear negative pulmonary tuberculosis PTB+ *** denotes smear positive pulmonary tuberculosis Table 3 . 3 Rules generated by PART Classification algorithm S.N Rule 1 Chronic cough  ... 
doi:10.5815/ijieeb.2017.04.06 fatcat:wvyzqnbvjnf2xhnlkwlr54x4a4

EFFICIENT FUZZY-BASED SYSTEM FOR THE DIAGNOSIS AND TREATMENT OF TUBERCULOSIS (EFBSDTTB)

Angbera Ature, Esiefarienrhe Michael Bukohwo, Agaji Iorshase
2016 International Journal of Computer Applications Technology and Research  
The aim of this study is to design a FuzzyBased Expert System for Tuberculosis diagnosis and Treatment. The designed system made use of General Hospital Adikpo, patient database.  ...  The output fields refers to the class/group of tuberculosis disease in the patient. This system uses Mamdani inference method.  ...  CONCLUSION This Fuzzy-Based System for Tuberculosis Diagnosis and Treatment was designed with Java (JFuzzy Logic), membership functions, input variables, output variables and rule base.  ... 
doi:10.7753/ijcatr0502.1001 fatcat:fhrn2ovbnvhkhi5k4hfyc5rvwu

Analysis of Deep Learning Techniques for Tuberculosis Disease

J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala
2021 SN Computer Science  
Different lung segmentation approaches are provided, including pixel grouping, methods based on rules, active forms, and other variations.  ...  These features are used for medical image processing to establish diagnostic rules for the identification of pulmonary nodules.  ... 
doi:10.1007/s42979-021-00680-y fatcat:e4sy7ugmordgvp7wwlvkhurkv4

Development of a clinical scoring system for the diagnosis of smear-negative pulmonary tuberculosis

Alonso Soto, Lely Solari, Juan Agapito, Carlos Acuna-Villaorduna, Marie-Laurence Lambert, Eduardo Gotuzzo, Patrick Van der Stuyft
2008 Brazilian Journal of Infectious Diseases  
This study developed a clinical score based on clinical and radiographic data for the diagnosis of smear-negative pulmonary tuberculosis (SNPT).  ...  Data from patients admitted to the emergency ward with respiratory symptoms and negative acidfast bacilli (AFB) smears was analyzed by means of logistic regression to develop the predictive score.Two hundred  ...  Acknowledgements Our acknowledgements to Universidad Peruana Cayetano Heredia for financing the recruitment of patients and laboratory tests; to Freddy Perez for recruiting the patients in the Emergency  ... 
doi:10.1590/s1413-86702008000200006 pmid:18641849 fatcat:g3m7pyjo3jby5imvzupbrlbcha

On a new approach to the automated detection of thoracic organs diseases using the spot feature in the analysis of digital X-ray images

S. B. Belhaouair, R. F. Kuleev
2014 Applied Mathematical Sciences  
This paper presents a new approach to the automated detection of pathologies using chest X-ray imaging. The approach is based on the use of the spot feature.  ...  Various methods of interest zones selection and segmentation are explored in the paper, the algorithms of their implementation are proposed.  ...  The work has been supported by the Russian Ministry of education and science (agreement: 14.606.21.0002, ID: RFMEFI60614X0002).  ... 
doi:10.12988/ams.2014.410841 fatcat:b6cdm675nnfvndkprlfiahs4tq

A Survey on Applications of Adaptive Neuro Fuzzy Inference System

Navneet Walia, Sharad Kumar, Harsukhpreet Singh
2015 International Journal of Hybrid Information Technology  
, ANFIS can construct mapping based on both human knowledge and hybrid learning algorithms.  ...  This study involves study of ANFIS strategy ANFIS strategy is employed to model nonlinear functions, to control one of the most important parameters of the induction machine and predict a chaotic time  ...  Acknowledgments Navneet Walia author wishes to express her sincere gratitude to Harsukhpreet Singh, Assistant Professor, CT Institute of Technology and Research and Mr.  ... 
doi:10.14257/ijhit.2015.8.11.30 fatcat:oycbgs7p6zhzhkokojq35pshwq

Machine Learning: A Means of Diagnosing and Prescribing Treatments for Tuberculosis Patients

Arman James E. Avenir, Jonas D. Villota, Maryli F. Rosas
2015 Journal of clean energy technologies  
In this paper, the researchers present the system that can assist doctors, nurses and health workers in diagnosing tuberculosis using techniques in machine learning through applying ID3 algorithm.  ...  Test result show that the system is capable of prescribing treatments based on the patient's data and tracking the progress of the patient based on his/her prescribed treatment.  ...  ACKNOWLEDGMENT The authors of this research wish to express their utmost gratitude and appreciation to the following individuals: To  ... 
doi:10.7763/ijcte.2015.v7.957 fatcat:d2mqyabbg5dkhco6lc5l22vs4e
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