DEVELOPMENT OF A SOFTWARE AND HARDWARE COMPLEX FOR PRIMARY DIAGNOSTICS BASED ON DEEP MACHINE LEARNING
Keywords:
deep machine learning, algorithm, forecasting, gastroenterological diseases, hardware and software complex, SVM, ANNAbstract
This article discusses the development of a software and hardware complex for primary diagnostics based on deep machine learning. 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.
References
http://lex.uz//docs/5297051 О мерах по созданию условий для ускоренного внедрения технологий искусственного интеллекта
Балашова, А. Фейки и роботы: какими будут главные технологические тренды 2019.
А. Балашова, А. Посыпкина, Е. Баленко // РБК. – 2018. – 3 дек.
Christopher Bishop, Pattern Recognition and Machine Learning, 2006
Leon Stenneth, Philip S. Yu, Monitoring and mining GPS traces in transit space, SIAM International Conference on Data Mining
Ganesh J., Gupta M., Varma V.Interpretation of Semantic Tweet Representations // arXivpreprint arXiv:1704.00898. — 2017.
Zhang A.,Culbertson B.,Paritosh P.Characterizing Online Discussion Using CoarseDiscourse Sequences // Proceedings of the International AAAI Conference on Web andSocial Media. — 2017
Hastie, T., Tibshirani R., Friedman J. Chapter 15. Random Forests // The Elements of Statistical Learning: Data Mining, Inference, and Prediction. — 2nd ed. — Springer-Verlag, 2009. — 746 p.
Stallkamp J. et al. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition //Neural networks. - 2012. - Т. 32. - С. 323-332
Masci J. et al. Stacked convolutional auto-encoders for hierarchical feature extraction //Artificial Neural Networks and Machine Learning-ICANN 2011. - Springer Berlin Heidelberg, 2011. - С. 52-59.
Krizhevsky A., Sutskever I., Hinton G. E. Imagenet classification with deep convolutional neural networks //Advances in neural information processing systems. - 2012. - С. 1097-1105
A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) https://www.pnas.org/doi/full/10.1073/pnas.1901274116
Микаелян Н.П., Комаров О.С., Давыдов В.В., Мейснер И.С. Биохимия ротовой жидкости в норме и при патологии. Учебно-методическое пособие для самостоятельной работы студентов по специальности «Стоматология». — Москва: ИКАР, 2017. — С. 10–11. — 64 с. — ISBN 978-5-7974-0574-0.
Физиология человека. Учебник. Под ред. В. М. Покровского, Г. Ф. Коротько. — М.: Медицина, 1997 ISBN 5-225-02693-1 т. 2 c. 39
Ermetov E. Y. Yaxshiboyev RE Gastroenterologik kasalliklarni KNN algoritmi asosida bashoratlovchi dastur //О ‘zbekiston Respublikasi intellektual mulk agentligi. Elektron hisoblash mashinalari uchun yaratilgan dasturning rasmiy ro’yxatdan o’tkazilganligi to’g’risidagi guvohnoma.№ DGU. – Т. 17014
Djumanov, Jamoljon, et al. "Mathematical model and software package for calculating the balance of information flow." 2021 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2021
R. Nasimov, B. Muminov, S. Mirzahalilov and N. Nasimova, "Algorithm of Automatic Differentiation of Myocardial Infarction from Cardiomyopathy based on Electrocardiogram," 2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT), 2020, pp. 1-5, doi: 10.1109/AICT50176.2020.9368738.
R. Nasimov, B. Muminov, S. Mirzahalilov and N. Nasimova, "A New Approach to Classifying Myocardial Infarction and Cardiomyopathy Using Deep Learning," 2020 International Conference on Information Science and Communications Technologies (ICISCT), 2020, pp. 1-5, doi: 10.1109/ICISCT50599.2020.9351386.
R. Yakhshibaev, B. Turaev, K. Jamolov, N. Atadjanova, E. Kim and N. Sayfullaeva, "Development of a mathematical model for balancing the level and device for remote monitoring of groundwater parameters," 2021 International Conference on Information Science and Communications Technologies (ICISCT), 2021, pp. 1-4, doi: 10.1109/ICISCT52966.2021.9670022.
Yaxshiboyev, Rustam, and Dilbar Yaxshiboyeva. "ANALYSIS OF ALGORITHMS FOR PREDICTION AND PRELIMINARY DIAGNOSTICS OF GASTROENTEROLOGICAL DISEASES." CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS) 1.2 (2022): 49-56.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
