Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study
This study developed a Nomogram Model based on five key factors, demonstrating significant clinical value in predicting the risk of pneumonia in hospitalized patients with catatonia.
Authors
- Xiao-jia Fang
- Sha Sha Wu (ORCID: https://orcid.org/0000-0001-8893-6919)
- Shunyuan Jia (ORCID: https://orcid.org/0009-0009-9965-0073)
- Fugang Luo
- Yichao Wang (ORCID: https://orcid.org/0000-0002-6140-4338)
- Li Zhang (ORCID: https://orcid.org/0000-0002-8951-4969)
- Qian He (ORCID: https://orcid.org/0000-0001-9728-7113)
- Yuejing Wu
Institutions
- Hangzhou Seventh Peoples Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-03-14
- DOI
- https://doi.org/10.3389/fpsyt.2025.1557659
- Primary Topic
- Electroconvulsive Therapy Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00