Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose
The LMENN model built by integrating LME and BPNN has several potential applications in analysing longitudinal FPG monitoring data. This study provides new ideas and methods for further research in the field of blood glucose prediction.
Authors
- Borui Chen (ORCID: https://orcid.org/0009-0007-9393-4978)
- Xi Wu (ORCID: https://orcid.org/0000-0002-1248-3420)
- Qiong Zou (ORCID: https://orcid.org/0009-0009-2395-1056)
- Changsheng Chen (ORCID: https://orcid.org/0000-0001-8715-6101)
- Yi Wan (ORCID: https://orcid.org/0000-0002-4125-8396)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-9081-0802)
Institutions
- City University of Hong Kong (HK)
- Shaanxi University of Chinese Medicine (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1186/s12874-024-02442-9
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China