Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data-Reference-Cited by-同舟云学术

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Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data

Published:2024-08 Issue:8 Volume:12 Page:2084-2091.e4
ISSN:2213-2198
Container-title:The Journal of Allergy and Clinical Immunology: In Practice
language:en
Short-container-title:The Journal of Allergy and Clinical Immunology: In Practice

Author:

Wu Chao-Ping,Sleiman Joelle,Fakhry Battoul,Chedraoui Celine,Attaway Amy,Bhattacharyya Anirban,Bleecker Eugene R.,Erdemir Ahmet,Hu Bo,Kethireddy Shravan,Meyers Deborah A.,Rashidi Hooman H.,Zein Joe G.

Funder

National Institutes of Health

NHLBI

Publisher

Elsevier BV

Reference51 articles.

1. Asthma phenotyping: a necessity for improved therapeutic precision and new targeted therapies;Chung;J Intern Med,2016

2. A comprehensive study of the direct and indirect costs of adult asthma;Cisternas;J Allergy Clin Immunol,2003

3. National Asthma Education and Prevention Program 2020 Guidelines: What’s Important for Primary Care;Murphy;J Fam Pract,2021

4. Severe asthma: from characteristics to phenotypes to endotypes;Wenzel;Clin Exp Allergy,2012

5. Gene expression correlated with severe asthma characteristics reveals heterogeneous mechanisms of severe disease;Modena;Am J Respir Crit Care Med,2017

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