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DiaBD: A novel benchmark dataset for diabetes prediction

Diabetes mellitus (DM) is a global health challenge that requires efficient and accurate prediction models for its early diagnosis and management. This research introduces a novel benchmark dataset named “Diabetes in Bangladesh (DiaBD),” created by integrating and optimizing attributes from two real...

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Главные авторы: Md Tanvir Islam, Abu Saleh Musa Miah, M. Raihan, Mohammad Iqbal Kabir, Mehadi Hasan Bijoy, Anupam Kumar Bairagi, Abdul Khader Jilani Saudagar, Yazeed Masaud Alkhrijah, Ik Hyun Lee, Khan Muhammad
Формат: Artigo
Язык:Inglês
Опубликовано: Elsevier 2025-11-01
Серии:Alexandria Engineering Journal
Предметы:
Diabetes prediction
Diabetes mellitus
Smart healthcare
Diabetes symptoms
Machine learning
Artificial neural networks
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S1110016825008877
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