Explainable machine learning model and nomogram for predicting the efficacy of Traditional Chinese Medicine in treating Long COVID: a retrospective study
This study utilized multicenter data and multiple ML algorithms to create a ML model for predicting TCM efficacy in Long COVID treatment. Furthermore, a logistic regression-based nomogram was developed to assist the model and improve decision-making efficiency in TCM applications for Long COVID management.
Authors
- Yi Yang (ORCID: https://orcid.org/0000-0002-5599-0975)
- Liqian Ma (ORCID: https://orcid.org/0000-0002-0814-9876)
- Hui Meng (ORCID: https://orcid.org/0000-0002-6359-9757)
- Kangshun Zhu (ORCID: https://orcid.org/0000-0001-5142-010X)
- Jiangsong Zhang
- Yang Chen
- Aijun Zhang (ORCID: https://orcid.org/0000-0002-9041-1561)
- Xianming Lin (ORCID: https://orcid.org/0009-0004-3819-5509)
- Jisheng Zhang
- Ke Lin (ORCID: https://orcid.org/0000-0003-2900-7428)
- Jintao Wu
Institutions
- Zhejiang Chinese Medical University (CN)
- First Hospital of Jiaxing (CN)
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-13
- DOI
- https://doi.org/10.3389/fmed.2025.1529993
- Citations
- 5
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 11.91
Funders
- Zhejiang Traditional Chinese Medicine Administration