A machine learning tool for early identification of celiac disease autoimmunity

Abstract Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical records of Maccabi Healthcare Services, we de...

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Hlavní autoři:	Michael Dreyfuss, Benjamin Getz, Benjamin Lebwohl, Or Ramni, Daniel Underberger, Tahel Ilan Ber, Shlomit Steinberg-Koch, Yonatan Jenudi, Sivan Gazit, Tal Patalon, Gabriel Chodick, Yehuda Shoenfeld, Amir Ben-Tov
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2024-12-01
Edice:	Scientific Reports
On-line přístup:	https://doi.org/10.1038/s41598-024-80817-0
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