ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES

Authors

  • Rustam Yaxshiboyev
  • Bahodir Muminov
  • Erkin Ermetov
  • Abdunazar Jurayev

Keywords:

deep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANN

Abstract

This article discusses the analysis of the process of deep machine learning based on the results obtained for the primary diagnosis of gastroenterological diseases. The process of deep machine learning was carried out, the ANN and SVM algorithms were used. The results of deep machine learning were compared, two variants of data sets for training were collected. Based on deep machine learning, it is planned to further develop a software and hardware complex for the primary diagnosis of gastroenterological diseases.

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Published

2023-06-03

How to Cite

Rustam Yaxshiboyev, Bahodir Muminov, Erkin Ermetov, & Abdunazar Jurayev. (2023). ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES. Central Asian Journal of Medicine, (4), 138-147. Retrieved from https://journals.tma.uz/index.php/cajm/article/view/537

Issue

No. 4 (2022): CAJM

Section

Articles