CLINICAL DATA ANALYSIS BASED ON NATURAL LANGUAGE PROCESSING (NLP) ALGORITHMS IN MEDICINE

Authors

  • Nurimov P.B. Kokand Universiteti Andijon filiali
  • Yesbergenov H.S Kokand Universiteti Andijon filiali

Keywords:

Algoritm, NLP, Elektro sog‘liqni saqlash, Sentiment va fikr tahlili, Clinical Decision Support, Electronic Health Record

Abstract

Natural language processing (NLP) algorithms are widely used in modern medical practice to analyze and effectively use clinical data. This thesis reviews the application of NLP algorithms in clinical record processing, their effectiveness, and future prospects.

References

Nadkarni P. M., Ohno-Machado L., Chapman W. W. Natural language processing: an introduction. Journal of the American Medical Informatics Association. – 2011. – Vol. 18(5). – P. 544-551.

Demner-Fushman D., Chapman W. W., McDonald C. J. What can natural language processing do for clinical decision support? . Journal of Biomedical Informatics. – 2009. – Vol. 42(5). – P. 760-772.

Savova G. K., Masanz J. J., Ogren P. V., et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications. Journal of the American Medical Informatics Association. – 2010. – Vol. 17(5). – P. 507-513.

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Published

2025-06-16

Issue

Vol. 2 No. 4.5 (2025): International scientific and practical conference "MODERN RESEARCH AND SCIENTIFIC NEWS IN PHARMACY, BIOTECHNOLOGY AND BIOMEDICINE" Andijan. April 23-24, 2025

Section

Articles

License

Copyright (c) 2025 Nurimov P.B., Yesbergenov H.S

Creative Commons License

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

How to Cite

CLINICAL DATA ANALYSIS BASED ON NATURAL LANGUAGE PROCESSING (NLP) ALGORITHMS IN MEDICINE. (2025). Universal International Scientific Journal, 2(4.5), 1099-1100. https://universaljurnal.uz/index.php/jurnal/article/view/2701