1DCNN-BiLSTM-transformer hypertension risk prediction model based on APW
The proposed model enhances classification performance. The physiologically driven interpretable analysis demonstrates that APW can reflect pathophysiological features associated with gut microbiota dysbiosis. The model-driven interpretable analysis offers a decision-making basis for clinical diagnosis.
Authors
- Huiyu Zhou (ORCID: https://orcid.org/0000-0003-1634-9840)
- Yan Peng (ORCID: https://orcid.org/0000-0001-5003-6923)
- Jiao Li (ORCID: https://orcid.org/0000-0003-4691-3625)
- Jie Wang (ORCID: https://orcid.org/0000-0001-8623-4622)
- Lu Ma (ORCID: https://orcid.org/0000-0003-4660-0274)
Institutions
- University of Leicester (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Capital Normal University (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/fmicb.2025.1714654
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Institute of Microelectronics of the Chinese Academy of Sciences