UNLOCKING THE POTENTIAL OF BIG MEDICAL IMAGE DATA: REVOLUTIONIZING HEALTHCARE THROUGH ADVANCED IMAGING TECHNOLOGIES

Authors

  • Olimboyev Husan Kaxramon o'g'li Urgench State University

Keywords:

MRI, Big Data, Data analysis, CT, PET

Abstract

The emergence of big data in healthcare has revolutionized the way data is collected, managed and analyzed. This article explores the application of big data processing and intelligent analytics in medicine, exploring how these technologies are changing diagnosis, treatment, and research.

References

U. Salaev, E. Kuriyozov, G. Matlatipov, "Design and Implementation of a Tool for Extracting Uzbek Syllables," in 2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE), 2023, pp. 1750-1755.

J. Mattiev, U. Salaev, and B. Kavsek, “Word Game Modeling Using Character-Level N-Gram and Statistics,” Mathematics, vol. 11, no. 6, p. 1380, 2023.

M. Sharipov, E. Kuriyozov, O. Yuldashev, and O. Sobirov, “UzbekTagger: The rule-based POS tagger for Uzbek language,” arXiv preprint arXiv:2301.12711, 2023.

U. Salaev, E. Kuriyozov, and C. Gómez-Rodríguez, “SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation Dataset for Uzbek Language,” in 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages, SIGUL 2022 - held in conjunction with the International Conference on Language Resources and Evaluation, LREC 2022 - Proceedings, 2022, pp. 199–206. [Online]. Available: www.scopus.com

J. Mattiev, J. Sajovic, G. Drevenšek, and P. Rogelj, “Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods,” Bioengineering, vol. 10, no. 1, p. 42, 2023.

Suetens, Paul. Fundamentals of medical imaging. Cambridge university press, 2017.

Hounsfield, Godfrey N. "Computed medical imaging." Science 210.4465 (1980): 22-28.

Hendee, William R., and E. Russell Ritenour. Medical imaging physics. John Wiley & Sons, 2003.

Downloads

Published

2024-02-29

How to Cite

Olimboyev, H. (2024). UNLOCKING THE POTENTIAL OF BIG MEDICAL IMAGE DATA: REVOLUTIONIZING HEALTHCARE THROUGH ADVANCED IMAGING TECHNOLOGIES. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(1), 125–130. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i119

Issue

Vol. 2 No. 1 (2024): Digital Transformation and Artificial Intelligence

Section

Technical sciences

License

Copyright (c) 2024 Olimboyev Husan Kaxramon o'g'li

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.