Predictive modeling for eosinophilic chronic rhinosinusitis: Nomogram and four machine learning approaches

Author:

Xiong PanhuiORCID,Chen Junliang,Zhang Yue,Shu Longlan,Shen Yang,Gu Yue,Liu Yijun,Guan Dayu,Zheng Bowen,Yang Yucheng

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference36 articles.

1. European position paper on rhinosinusitis and nasal polyps 2020;Fokkens;Rhinology,2020

2. Chronic rhinosinusitis: Epidemiology and burden of disease;DeConde;Am. J. Rhinol. Allergy,2016

3. Evolving rhinology: understanding the burden of chronic rhinosinusitis today, tomorrow, and beyond;Yim;Curr. Allergy Asthma Rep.,2020

4. Economics of chronic rhinosinusitis;Rudmik;Curr. Allergy Asthma Rep.,2017

5. Defining the Allergic Endotype of Chronic Rhinosinusitis by Structured Histopathology and Clinical Variables;Brown;J. Allergy Clin. Immunol. Pract.,2021

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