Prediction of pediatric peanut oral food challenge outcomes using machine learning
Background: Clinical testing, including food-specific skin and serum IgE level tests, provides limited accuracy to predict food allergy. Confirmatory oral food challenges (OFCs) are often required, but the associated risks, cost, and logistic difficulties comprise a barrier to proper diagnosis. Obje...
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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2024-08-01
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| シリーズ: | Journal of Allergy and Clinical Immunology: Global |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2772829324000481 |
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