A machine learning approach for stratifying risk for food allergies utilizing electronic medical record data-Reference-Cited by-同舟云学术

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A machine learning approach for stratifying risk for food allergies utilizing electronic medical record data

Published:2023-08-09 Issue:2 Volume:79 Page:499-502
ISSN:0105-4538
Container-title:Allergy
language:en
Short-container-title:Allergy

Author:

Landau Tamar¹²^ORCID,Gamrasni Keren¹,Barlev Yotam¹³,Elizur Arnon³⁴,Benor Shira³⁵,Mimouni Francis⁶,Brandwein Michael¹^ORCID

Affiliation:

1. MYOR Diagnostics Ltd. Zichron Yaakov Israel

2. Department of Statistics University of Haifa Haifa Israel

3. Sackler Faculty of Medicine Tel Aviv University Tel Aviv Israel

4. Institute of Allergy, Immunology and Pediatric Pulmonology Shamir Medical Center Tel Aviv Israel

5. Allergy and Clinical Immunology Unit Tel Aviv Sourasky Medical Center Tel Aviv Israel

6. Leumit Health Services Leumit Research Institute Tel Aviv Israel

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/all.15839

Reference7 articles.

1. Food allergy and atopic dermatitis: Prediction, progression, and prevention

2. Genetic determinants of paediatric food allergy: A systematic review

3. Food allergy across the globe

4. Daily emollient during infancy for prevention of eczema: the BEEP randomised controlled trial

5. Development of a machine learning algorithm based on administrative claims data for identification of ED anaphylaxis patient visits

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a predictive model for pediatric atopic dermatitis: A retrospective cross-sectional nationwide database study;Annals of Allergy, Asthma & Immunology;2024-09

2. Redefining the Role of Nutrition in Infant Food Allergy Prevention: A Narrative Review;Nutrients;2024-03-14

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