Reliable prediction of childhood obesity using only routinely collected EHRs may be possible
Our model can predict the risk of obesity for young children at multiple time points using only routinely collected EHR data, greatly facilitating its integration into clinical care. Our model can be used as an objective screening tool to provide clinicians with insights into a patient's risk for developing obesity so that early lifestyle counseling can be provided to prevent future obesity in young children.
Authors
- Daniel Eckrich (ORCID: https://orcid.org/0000-0002-0977-3275)
- Mehak Gupta (ORCID: https://orcid.org/0000-0001-8036-2025)
- Thao-Ly T. Phan (ORCID: https://orcid.org/0000-0003-4616-6869)
- Rahmatollah Beheshti (ORCID: https://orcid.org/0000-0001-8912-3063)
- H. Timothy Bunnell (ORCID: https://orcid.org/0000-0002-3099-7572)
Institutions
- Southern Methodist University (US)
- Nemours Children's Health System (US)
- University of Delaware (US)
Publication Details
- Journal
- Obesity Pillars
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1016/j.obpill.2024.100128
- Citations
- 4
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 0.98
Funders
- National Institutes of Health