The Development of Expert Systems Using Artificial Intelligence

Authors

  • Rustam A. Burnashev Institute of Computational Mathematics and Information Technologies, Kazan Federal University Author
  • Ruslan G. Gabdrahmanov Institute of Computational Mathematics and Information Technologies, Kazan Federal University. Author
  • Arslan I. Enikeev Institute of Computational Mathematics and Information Technologies, Kazan Federal University Author

DOI:

https://doi.org/10.61841/6fs3dc26

Keywords:

Leukemia, Expert System, Python 3, PyQt5

Abstract

This article presents a study related to the development of logical systems using artificial intelligence on the example of diagnosing leukemia. Data sets and logical rules that were used for the initial diagnosis of the disease were identified. In the process of learning, a neural network can reveal complex dependencies between the input data as well as summarize the information obtained. This system includes a perceptron and consists of 3 hidden layers: 80 neurons (relu), 40 neurons (selu), and 1 neuron (sigmoid). For software development, the programming language Python 

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References

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Published

18.09.2024

Issue

Vol. 23 No. 1 (2019): 23 (1) 2019

Section

Articles

License

Copyright (c) 2024 Author

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How to Cite

A. Burnashev, R., G. Gabdrahmanov, R., & I. Enikeev, A. (2024). The Development of Expert Systems Using Artificial Intelligence. International Journal of Psychosocial Rehabilitation, 23(1), 188-194. https://doi.org/10.61841/6fs3dc26