EczemaPred: A computational framework for personalised prediction of eczema severity dynamics
Author:
Affiliation:
1. Department of Bioengineering Imperial College London London UK
2. Clinique Dermatologique University Hospital Nantes France
3. Pierre Fabre Laboratories Toulouse France
Publisher
Wiley
Subject
Immunology and Allergy,Immunology,Pulmonary and Respiratory Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/clt2.12140
Reference22 articles.
1. Atopic dermatitis
2. Clinical phenotypes and endophenotypes of atopic dermatitis: Where are we, and where should we go?
3. Toward precision medicine and health: Opportunities and challenges in allergic diseases
4. Personalized prediction of daily eczema severity scores using a mechanistic machine learning model
5. Eczema area and severity index (EASI): A new tool to evaluate atopic dermatitis
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2. Evaluation of measurement errors in the Patient‐Oriented Eczema Measure (POEM) outcome;Clinical & Experimental Allergy;2024-01-02
3. The Patient‐Oriented Scoring of Atopic Dermatitis and SCORAD in young children: New data on interpretability and clinical usefulness;Journal of the European Academy of Dermatology and Venereology;2023-09-22
4. Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology;Current Allergy and Asthma Reports;2023-05-09
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