tuberculosis disease diagnosis
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scholarly journals Taxonomy on Healthcare System Based on Machine Learning Approaches: Tuberculosis Disease Diagnosis

2020 ◽  
Vol 09 (6) ◽  
pp. 1199-1212
Author(s):  
Priyanka Karmani ◽  
Aftab Ahmed Chandio ◽  
Vivekanand Karmani ◽  
Javed Ali Soomro ◽  
Imtiaz Ali Korejo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Healthcare System ◽  
Disease Diagnosis ◽  
Learning Approaches ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

scholarly journals Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor

2020 ◽  
Vol 2 (1) ◽  
pp. 129-134
Author(s):  
Betti Mastaria Br Sembiring ◽  
Paska Marto Hasugian
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Disease Diagnosis ◽  
Certainty Factor ◽  
Disease Symptoms ◽  
System Method ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.

scholarly journals An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time

2018 ◽  
Vol 114 ◽  
pp. 65-77 ◽  
Author(s):  
Antesar M. Shabut ◽  
Marzia Hoque Tania ◽  
Khin T. Lwin ◽  
Benjamin A. Evans ◽  
Nor Azah Yusof ◽  
...  
Keyword(s):  
Expert System ◽  
Real Time ◽  
Disease Diagnosis ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

scholarly journals Tuberculosis Disease Diagnosis Using Artificial Immune Recognition System

2014 ◽  
Vol 11 (5) ◽  
pp. 508-514 ◽  
Author(s):  
Shahaboddin Shamshirband ◽  
Somayeh Hessam ◽  
Hossein Javidnia ◽  
Mohsen Amiribesheli ◽  
Shaghayegh Vahdat ◽  
...  
Keyword(s):  
Recognition System ◽  
Disease Diagnosis ◽  
Immune Recognition ◽  
Artificial Immune ◽  
Artificial Immune Recognition System ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease
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