Prediction of multidrug-resistant tuberculosis in tuberculosis patients using perceptron artificial neural networks model

Prediction of multidrug-resistant tuberculosis in tuberculosis patients using perceptron artificial neural networks model

Background & Aims: Diagnosis and treatment of patients with multidrug-resistant tuberculosis (MDR-TB) are very important. Hence, it is necessary to predict and diagnose these patients based on individual, demographic and clinical characteristics before starting treatment. This study aimed to pre...

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Bibliographic Details
Main Authors: Mehdi Kazempour Dizaji, Mohammad Varahram, Payam Tabarsi, Rahim Roozbahani, Ali Zare, Afshin Moniri, Mohammadreza Madani, Atefe Abedini, Parvaneh Baghaei Shiva, Majid Marjani, Niloufar Alizadeh Kolahdozi
Format: Article
Language:English
Published: Urmia University of Medical Sciences 2023-04-01
Series:Health Science Monitor
Subjects:
artificial neural networks
perceptron
tuberculosis
multidrug-resistant tuberculosis
Online Access:http://hsm.umsu.ac.ir/article-1-101-en.pdf

Internet

http://hsm.umsu.ac.ir/article-1-101-en.pdf

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