Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Cybernetics and Control Theory in Systems Proceedings of 13th Computer Science On-line Conference 2024; Zlin, Czech Republic; Zlin, Czech Republic
Год издания: 2024
Ключевые слова: data analysis, forecasting, decision tree, Kohonen maps, model performance, prediction accuracy, model interpretability, data clustering, medical, health, cancer, health risk, diseases
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 potentПоказать полностьюial 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.
Журнал: Cybernetics and Control Theory in Systems
Выпуск журнала: 1119-2
Номера страниц: 666-673
Место издания: Cham