Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: a multicenter cohort study

ABSTRACT This study aims to develop and validate an optimized diagnostic model for nonneutropenic invasive pulmonary aspergillosis (IPA) among suspected cases. A cohort of 344 nonneutropenic suspected cases from 13 medical centers (August 2020 to February 2024) was analyzed. The cohort was divided i...

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Main Authors:	Xinyu Wang, Yajie Lu, Chao Sun, Huanhuan Zhong, Yuchen Cai, Min Cao, Xuefan Cui, Wenkui Sun, Li Wang, Xin Lu, Cheng Chen, Yanbin Chen, Chunlai Feng, Yujian Tao, Jun Zhou, Jiaxin Shi, Guoer Ma, Yuanqin Li, Xin Su
Format:	Article
Language:	English
Published:	American Society for Microbiology 2025-07-01
Series:	Microbiology Spectrum
Subjects:	nonneutropenic invasive pulmonary aspergillosis machine learning diagnostic model weighted ensemble Aspergillus-specific IgG plasma pentraxin 3
Online Access:	https://journals.asm.org/doi/10.1128/spectrum.00607-25
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Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: a multicenter cohort study

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