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Development, Validation and Comparison of Artificial Neural Network and Logistic Regression Models Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps
CONCLUSIONS: Machine learning models assist clinicians in predicting endotypes of nasal polyps before invasive detection. The ANN model has the potential to predict eCRSwNP with high sensitivity and specificity, and is superior to the LR model. ANNs are valuable for optimizing personalized patient management.PMID:36693359 | PMC:PMC9880304 | DOI:10.4168/aair.2023.15.1.67
Source: Allergy, Asthma and Immunology Research - January 24, 2023 Category: Allergy & Immunology Authors: Huiqin Zhou Wenjun Fan Danxue Qin Peiqiang Liu Ziang Gao Hao Lv Wei Zhang Rong Xiang Yu Xu Source Type: research
