Developing a prediction model for persistent airflow limitation in asthmatic children

PAL in asthmatic children can be predicted with clinically meaningful accuracy using routinely available clinical data, and three prediction models (LR, RF, and XGBoost) demonstrated comparable performance in identifying high-risk patients.

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Publication Details

Journal
Journal of Thoracic Disease
Published
2025-10-01
DOI
https://doi.org/10.21037/jtd-23-1796
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
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article

Developing a prediction model for persistent airflow limitation in asthmatic children

Xinyu Jia, Shiqiu Xiong, Wei Chen, Chuanhe Liu
Journal of Thoracic Disease
Asthma and respiratory diseases
article

Developing a prediction model for persistent airflow limitation in asthmatic children

Xinyu Jia, Shiqiu Xiong, Wei Chen, Chuanhe Liu
article en

Abstract

PAL in asthmatic children can be predicted with clinically meaningful accuracy using routinely available clinical data, and three prediction models (LR, RF, and XGBoost) demonstrated comparable performance in identifying high-risk patients.

Journal of Thoracic DiseaseVol. 17(10)
Xi’an Children’s Hospital (CN)
Openalex Percentile: Top 60%
Asthma and respiratory diseases
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Developing a prediction model for persistent airflow limitation in asthmatic children — Xinyu Jia, Shiqiu Xiong, et al. · Journal of Thoracic Disease (2025) | TGRS Research Map | TGRS