An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health

Abstract Background Diabetes is a chronic condition that can result in many long-term physiological, metabolic, and neurological complications. Therefore, early detection of diabetes would help to determine a proper diagnosis and treatment plan. Methods In this study, we employed machine learning (M...

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主要な著者:	Belqes Alsadi, Saleh Musleh, Hamada R. H. Al-Absi, Mahmoud Refaee, Rizwan Qureshi, Nady El Hajj, Tanvir Alam
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2024-05-01
シリーズ:	BMC Medical Informatics and Decision Making
主題:	Machine learning Diabetes Bone health Dual Energy X-ray Absorptiometry Qatar Biobank (QBB)
オンライン･アクセス:	https://doi.org/10.1186/s12911-024-02540-0
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