Pulmonary Tuberculosis Diagnosis Using Artificial Neural Networks

Section: Research Paper
Published
Jun 25, 2025
Pages
103-114

Abstract

This research can detecting the Tuberculosis by using the artificial neural networks, the idea of this research is to design a system that receive the information of patient and give these information to Hamming and Maxnet network which doing the comparison between these information with constant values of human body that stored in network. The system is implemented about many humans (infected and not infected) which has been entered their information to the data base of system, and programmed the system by using visual basic 6.0 with Microsoft access software to build the data base.

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How to Cite

Hatim Thanoon, K., کرم, Abd-alraheem Hamdi, M., & محمد. (2025). Pulmonary Tuberculosis Diagnosis Using Artificial Neural Networks. AL-Rafidain Journal of Computer Sciences and Mathematics, 6(1), 103–114. Retrieved from https://rjps.uomosul.edu.iq/index.php/csmj/article/view/19867