Personalized prediction of daily eczema severity scores using a mechanistic machine learning model-Reference-Cited by-同舟云学术

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Personalized prediction of daily eczema severity scores using a mechanistic machine learning model

Published:2020-09-09 Issue:11 Volume:50 Page:1258-1266
ISSN:0954-7894
Container-title:Clinical & Experimental Allergy
language:en
Short-container-title:Clin Exp Allergy

Author:

Hurault Guillem¹^ORCID,Domínguez‐Hüttinger Elisa²^ORCID,Langan Sinéad M.³^ORCID,Williams Hywel C.⁴^ORCID,Tanaka Reiko J.¹^ORCID

Affiliation:

1. Department of Bioengineering Imperial College London London UK

2. Instituto de Investigaciones Biomédicas Universidad Nacional Autónoma de México México México

3. Faculty of Epidemiology and Population Health London School of Hygiene and Tropical Medicine London UK

4. Centre of Evidence Based Dermatology University of Nottingham Nottingham UK

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cea.13717

Reference24 articles.

1. Revised nomenclature for allergy for global use: Report of the Nomenclature Review Committee of the World Allergy Organization, October 2003

2. Atopic dermatitis

3. The Burden of Atopic Dermatitis: Summary of a Report for the National Eczema Association

4. Clinical phenotypes and endophenotypes of atopic dermatitis: Where are we, and where should we go?

5. Toward precision medicine and health: Opportunities and challenges in allergic diseases

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4. Data-driven personalised recommendations for eczema treatment using a Bayesian model of severity dynamics;2024-01-22

5. Evaluation of measurement errors in the Patient‐Oriented Eczema Measure (POEM) outcome;Clinical & Experimental Allergy;2024-01-02

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