Predicting misdiagnosed adult-onset type 1 diabetes using machine learning

It is now understood that almost half of newly diagnosed cases of type 1 diabetes are adult-onset. However, type 1 and type 2 diabetes are difficult to initially distinguish clinically in adults, potentially leading to ineffective care. In this study a machine learning model was developed to identif...

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Veröffentlicht in:Diabetes research and clinical practice Jg. 191; S. 110029
Hauptverfasser: Cheheltani, Rabee, King, Nicholas, Lee, Suyin, North, Benjamin, Kovarik, Danny, Evans-Molina, Carmella, Leavitt, Nadejda, Dutta, Sanjoy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Ireland Elsevier B.V 01.09.2022
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ISSN:0168-8227, 1872-8227, 1872-8227
Online-Zugang:Volltext
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