Use machine learning to predict treatment outcome of early childhood caries
Machine learning can provide promising predictions of the treatment outcome of ECC. The identified key predictors would be particularly informative for targeted management of ECC.
Authors
- Yafei Wu (ORCID: https://orcid.org/0000-0003-3937-0263)
- Duangporn Duangthip (ORCID: https://orcid.org/0000-0002-3819-3560)
- Sherry Shiqian Gao (ORCID: https://orcid.org/0000-0002-8340-5737)
- Ya Fang (ORCID: https://orcid.org/0000-0002-9895-3234)
- Chun Hung Chu
- Maoni Jia (ORCID: https://orcid.org/0000-0002-7724-9205)
Institutions
- Hong Kong Polytechnic University (HK)
- Xiamen University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-03-15
- DOI
- https://doi.org/10.1186/s12903-025-05768-y
- Citations
- 2
- Primary Topic
- Dental Health and Care Utilization
- Type
- article
- Field-Weighted Citation Impact
- 2.93