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

doi:10.1111/all.15839

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

Pediatrics

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

3 Scopus citations

Original language	English
Pages (from-to)	499-502
Number of pages	4
Journal	Allergy: European Journal of Allergy and Clinical Immunology
Volume	79
Issue number	2
DOIs	https://doi.org/10.1111/all.15839
State	Published - Feb 2024

Funding

Funders	Funder number
MYOR

Access to Document

10.1111/all.15839

Cite this

@article{2e3a373e09a84d8f85e63787db099143,

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 = "2024",

month = feb,

doi = "10.1111/all.15839",

language = "אנגלית",

volume = "79",

pages = "499--502",

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

issn = "0105-4538",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "2",

}

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 - 2024/2

Y1 - 2024/2

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

U2 - 10.1111/all.15839

DO - 10.1111/all.15839

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.letter???

C2 - 37555336

AN - SCOPUS:85167357617

SN - 0105-4538

VL - 79

SP - 499

EP - 502

JO - Allergy: European Journal of Allergy and Clinical Immunology

JF - Allergy: European Journal of Allergy and Clinical Immunology

IS - 2

ER -

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

Funding

Access to Document

Other files and links

Cite this