Machine Learning–Based Diagnosis of Cryptococcal Meningitis and Tuberculous Meningitis: A Single-Center Retrospective Clinical Study
The developed nomogram accurately distinguishes cryptococcal meningitis from tuberculous meningitis with superior discriminative ability and clinical relevance, providing a valuable diagnostic tool for clinicians.
Authors
- Cheng Chen (ORCID: https://orcid.org/0000-0002-3023-5498)
- Fangbo Lin (ORCID: https://orcid.org/0000-0003-2757-682X)
- Yuan Li (ORCID: https://orcid.org/0000-0001-7676-7994)
- Hua Liu (ORCID: https://orcid.org/0000-0003-2034-6407)
Institutions
- Fujian Medical University (CN)
- Central South University (CN)
- The First Hospital of Changsha (CN)
Publication Details
- Journal
- Open Forum Infectious Diseases
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1093/ofid/ofaf217
- Citations
- 2
- Primary Topic
- Fungal Infections and Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.71