Using the Support Vector Machine (SVM) machine learning algorithm for data analysis to determine the appropriateness of choosing a medical career direction.
Authors
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Oleksii Izmalkov
Oles Honchar Dnipro National University
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https://orcid.org/0009-0005-3732-7474
Abstract
Currently, to automate machine learning, it is necessary to analyze their advantages and disadvantages for automating machine learning.
There are several machine learning algorithms that can be used to analyze data collected from surveys and sensors to identify patterns that may indicate a person's suitability for various medical professions.
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References
"Support Vector Machines for Pattern Classification" by Shigeo Abe and Yoichi Takenaka
"Support Vector Machines: Theory and Applications" by S. Sathiya Keerthi and C. J. Lin: This book offers a detailed treatment of SVMs, exploring both the theoretical foundations and practical as-pects.
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