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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主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2025-11-01
シリーズ:	Alexandria Engineering Journal
主題:	Diabetes prediction Diabetes mellitus Smart healthcare Diabetes symptoms Machine learning Artificial neural networks
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1110016825008877
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