Библиографическое описание:Comparative Analysis of Machine Learning Methods: Decision Tree and Kohonen Maps : доклад, тезисы доклада / K. K. Degtyareva [et al.]. - [S. l. : s. n.], 2024. - Текст : непосредственный // Cybernetics and Control Theory in Systems : Proceedings of 13th Computer Science On-line Conference 2024 / Cybernetics and Control Theory in Systems Proceedings of 13th Computer Science On-line Conference 2024 (2024 ; 01.01 - 31.12 ; Zlin, Czech Republic). - Cham, 2024. - 1119-2. - P. 666-673. - ISBN 9783031702990.
Аннотация:Data analysis and prediction play a key role in medical diagnosis and decision making. This paper investigates the effectiveness of two data analysis methods, decision tree and Kohonen maps, in the context of thyroid cancer. The study is based on 383 patients and includes analysis of various factors. The results indicate the potential of both methods in accurately predicting disease risk, patient gender and likelihood of recurrence. The decision tree is characterized by its ease of interpretation, while Kohonen maps have the ability to reveal complex dependencies in the data. In conclusion, the article emphasizes the importance of choosing an appropriate data analysis method to achieve accurate and interpretable results.
Источник:Cybernetics and Control Theory in Systems
Выпуск:1119-2
Мероприятие:Cybernetics and Control Theory in Systems Proceedings of 13th Computer Science On-line Conference 2024 (Zlin, Czech Republic, 2024 ; 01.01 - 31.12)
Номера страниц:666-673
Держатель оригинала документа:Bauman Moscow State Technical University, Reshetnev Siberian State University of Science and Technology, Siberian Federal University
Количество экземпляров:
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