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

Authors

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

References

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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

Issue

Section

Articles