ANALYSIS OF THE PROCESS OF DEEP MACHINE LEARNING BASED ON THE RESULTS OBTAINED FOR PRIMARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES
No. 4 (2022), Articles
No. 4 (2022)

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

Articles
Published 2023-06-03
  • Rustam Yaxshiboyev
  • Bahodir Muminov
  • Erkin Ermetov
  • Abdunazar Jurayev
Rustam Yaxshiboyev
Bahodir Muminov
Erkin Ermetov
Abdunazar Jurayev
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Keywords

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

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
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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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