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...
Gorde:
| Egile Nagusiak: | , , , , , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2024-12-01
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| Saila: | Scientific Reports |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41598-024-80817-0 |
| Etiketak: |
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