ANALYSIS OF CLASSIFICATION PROBLEM AND ITS ALGORITHMS IN MACHINE LEARNING

Machine learning technologies are improving the efficiency of diagnosing X-ray images, creating new opportunities in medicine. With their help, it is possible to detect diseases early, increase the accuracy of diagnosis and make the process of treating patients more effective.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-13
DOI
https://doi.org/10.5281/zenodo.13925972
Primary Topic
Advanced Computational Techniques in Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

ANALYSIS OF CLASSIFICATION PROBLEM AND ITS ALGORITHMS IN MACHINE LEARNING

Zenodo (CERN European Organization for Nuclear Research)
Advanced Computational Techniques in Science and Engineering
article

ANALYSIS OF CLASSIFICATION PROBLEM AND ITS ALGORITHMS IN MACHINE LEARNING

article en

Abstract

Machine learning technologies are improving the efficiency of diagnosing X-ray images, creating new opportunities in medicine. With their help, it is possible to detect diseases early, increase the accuracy of diagnosis and make the process of treating patients more effective.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Advanced Computational Techniques in Science and Engineering
DOIOpen Access PDFOpenAlex
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ANALYSIS OF CLASSIFICATION PROBLEM AND ITS ALGORITHMS IN MACHINE LEARNING · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS