Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference on Recent Innovations in Computing ICRIC 2023; Jammu, India; Jammu, India
Год издания: 2024
Идентификатор DOI: 10.1007/978-981-97-3442-9_45
Ключевые слова: decision tree, data analysis, health risk, machine learning, diabetes mellitus
Аннотация: Diabetes mellitus stands as a critical global health challenge in the twentyfirst century, with its escalating prevalence impacting individuals worldwide. Its complications significantly diminish both the quality of life and life expectancy, contributing to early disabilities and heightened mortality rates. Effective prediction of Показать полностьюthis disease holds immense value for its early diagnosis and subsequent management. This study focuses on comprehensive data analysis, emphasizing the pivotal role of predictive analytics. Employing decision tree methodology, specifically a hierarchical structure for representation of decision rules, the research explores the application of this approach in forecasting and data analysis within the realm of diabetes mellitus. By delving into this crucial area, the study aims to elucidate the efficacy of decision trees in disease prediction and diagnostic enhancement.
Журнал: Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2023)
Выпуск журнала: 1195
Номера страниц: 645-655
Место издания: Singapore