МАШИННЕ НАВЧАННЯ В АНАЛІЗІ МЕДИКО-БІОЛОГІЧНИХ ДАНИХ: ВІД ТЕОРІЇ ДО ПРАКТИКИ

Olha Yastrebova; Nataliia Frych; Liubov Shvets; Zoryana Drohomyretska; Larysa Kovalchuk; Nataliia Dovganuch

doi:10.30890/2567-5273.2025-41-02-027

MACHINE LEARNING IN THE ANALYSIS OF MEDICAL AND BIOLOGICAL DATA: FROM THEORY TO PRACTICE

Authors

Olha Yastrebova Ivano-Frankivsk National Medical University https://orcid.org/0009-0004-0892-0925
Nataliia Frych Ivano-Frankivsk National Medical University https://orcid.org/0000-0003-1235-7157
Liubov Shvets Ivano-Frankivsk National Medical University https://orcid.org/0000-0002-1481-2160
Zoryana Drohomyretska Ivano-Frankivsk National Medical University https://orcid.org/0009-0001-1910-2256
Larysa Kovalchuk Ivano-Frankivsk National Medical University https://orcid.org/0000-0003-2878-3441
Nataliia Dovganuch Ivano-Frankivsk National Medical University https://orcid.org/0009-0000-6361-6791

DOI:

https://doi.org/10.30890/2567-5273.2025-41-02-027

Keywords:

machine learning; artificial intelligence; biomedical data; big data analysis; personalized medicine; classification algorithms; disease prediction; neural networks; genomics; digital medicine.

Abstract

The article discusses modern approaches to the use of machine learning methods in the analysis of biomedical data, which open new opportunities for diagnostics, prediction, and personalized medicine. The main types of algorithms applied for classification

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Published

2025-10-30

How to Cite

Ястребова, О., Фрич, Н., Швець, Л., Дрогомирецька, З., Ковальчук, Л., & Довганич, Н. (2025). MACHINE LEARNING IN THE ANALYSIS OF MEDICAL AND BIOLOGICAL DATA: FROM THEORY TO PRACTICE. Modern Engineering and Innovative Technologies, 2(41-02), 140–145. https://doi.org/10.30890/2567-5273.2025-41-02-027