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

Tamar Landau, Keren Gamrasni, Yotam Barlev, Arnon Elizur, Shira Benor, Francis Mimouni, Michael Brandwein^*

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

Original language	English
Journal	Allergy: European Journal of Allergy and Clinical Immunology
DOIs	https://doi.org/10.1111/all.15839
State	Accepted/In press - 2023

Access to Document

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title = "A machine learning approach for stratifying risk for food allergies utilizing electronic medical record data",

author = "Tamar Landau and Keren Gamrasni and Yotam Barlev and Arnon Elizur and Shira Benor and Francis Mimouni and Michael Brandwein",

note = "Funding Information: This study was funded by MYOR Diagnostics ltd. ",

year = "2023",

doi = "10.1111/all.15839",

language = "אנגלית",

journal = "Allergy: European Journal of Allergy and Clinical Immunology",

issn = "0105-4538",

publisher = "Wiley-Blackwell Publishing Ltd",

}

TY - JOUR

T1 - A machine learning approach for stratifying risk for food allergies utilizing electronic medical record data

AU - Landau, Tamar

AU - Gamrasni, Keren

AU - Barlev, Yotam

AU - Elizur, Arnon

AU - Benor, Shira

AU - Mimouni, Francis

AU - Brandwein, Michael

N1 - Funding Information: This study was funded by MYOR Diagnostics ltd.

PY - 2023

Y1 - 2023

UR - http://www.scopus.com/inward/record.url?scp=85167357617&partnerID=8YFLogxK

U2 - 10.1111/all.15839

DO - 10.1111/all.15839

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C2 - 37555336

AN - SCOPUS:85167357617

SN - 0105-4538

JO - Allergy: European Journal of Allergy and Clinical Immunology

JF - Allergy: European Journal of Allergy and Clinical Immunology

ER -