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A machine learning tool for early identification of celiac disease autoimmunity

Summary by Nature
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 developed and evaluated five machine learning models to classify patients as at-risk for CD autoimmunity prior to first documented diagnosis or positive serum ti

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El Vocero de Puerto Rico broke the news in on Monday, March 31, 2025.
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