Apr 29, 2012 · The purpose of this study is to develop a data mining solution that makes diagnosis of tuberculosis as accurate as possible and helps deciding ...
Oct 22, 2024 · We proposed the use of Sugeno-type “adaptive-network-based fuzzy inference system” (ANFIS) to predict the existence of mycobacterium ...
A data mining solution that makes diagnosis of tuberculosis as accurate as possible and helps deciding whether it is reasonable to start tuberculosis ...
Abstract: A correct diagnosis of tuberculosis disease can be only stated by applying a medical test to patient's phlegm. The result of this test is obtained ...
Tuberculosis disease diagnosis by using adaptive neuro fuzzy inference system and rough sets. https://doi.org/10.1007/s00521-012-0942-1 ·.
We proposed the use of Sugeno-type “adaptive-network-based fuzzy inference system” (ANFIS) to predict the existence of mycobacterium tuberculosis. Data set ...
Uçar, T., Karahoca, A. and Karahoca, D. (2012) Tuberculosis Disease Diagnosis by Using Adaptive Neuro Fuzzy Inference System and Rough Sets. Neural Computing & ...
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Tuberculosis disease diagnosis by using adaptive neuro fuzzy inference system and rough sets. T. Uçar, A. Karahoca, and D. Karahoca. Neural Comput.
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