A causal forest model integrating quantitative CT scores to predict benefit from flexible bronchoscopy in pediatric Mycoplasma pneumoniae pneumonia: a two-center retrospective study

Zhoumeng Ying, Jing Li, Zheming Li, Ge Hu, Fei Yang, Zhu Zhu, Wei Han, Zhenchen Zhu, Baofeng Zhang, Zhen Zhou, Mengyu Duan, Weixiong Tan, Xinxin Li, Zhengyu Jin, Lan Song, Gang Yu · 2025

Read A causal forest model integrating quantitative CT scores to predict benefit from flexible bronchoscopy in pediatric Mycoplasma pneumoniae pneumonia: a two-center retrospective study by Zhoumeng Ying, Jing Li, Zheming Li, Ge Hu, Fei Yang, Zhu Zhu, Wei Han, Zhenchen Zhu, Baofeng Zhang, Zhen Zhou, Mengyu Duan, Weixiong Tan, Xinxin Li, Zhengyu Jin, Lan Song, Gang Yu (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12821180.txt.

Description

Zhoumeng Ying and a large team predict which children with mycoplasma pneumonia gain from bronchoscopy. Their two-centre study from twenty twenty-five uses causal machine learning. The scope procedure helps some children with stubborn lung collapse. Others recover without it, so selection matters greatly.

Scan scores were measured by an AI system automatically. Clinical and lab data joined the scan features. A causal forest estimated each child benefit from the procedure. One cohort built the model and another validated it. Benefit varied substantially between children with similar illness labels. Feature rankings show what drives the predicted benefit. Doctors could aim an invasive procedure at likely responders.

Catalog record

CREATORZhoumeng Ying, Jing Li, Zheming Li, Ge Hu, Fei Yang, Zhu Zhu, Wei Han, Zhenchen Zhu, Baofeng Zhang, Zhen Zhou, Mengyu Duan, Weixiong Tan, Xinxin Li, Zhengyu Jin, Lan Song, Gang Yu
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE42 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12821180

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