Development of a Machine-Learning Immuno-Serologic Diagnostic Model for Non-Neutropenic Invasive Pulmonary Fungal Disease
The immuno-serologic diagnostic model exhibits strong discriminatory performance in differentiating bacterial pneumonia from non-neutropenic IPFD, highlighting its potential for clinical application.
Authors
- Hui Huang (ORCID: https://orcid.org/0000-0003-2958-257X)
- Junyuan Huang (ORCID: https://orcid.org/0000-0003-3324-7520)
- Zhihui Liu (ORCID: https://orcid.org/0000-0002-8350-5391)
- Fang Fang (ORCID: https://orcid.org/0000-0002-1805-2031)
- Weiguo Lu
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- Infection and Drug Resistance
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/idr.s544469
- Primary Topic
- Antifungal resistance and susceptibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00