Predicting mother and newborn skin-to-skin contact using a machine learning approach
Although this study found that the ML model performed well in predicting SSC, more research is needed to make a better conclusion about its performance.
Authors
- Nasibeh Roozbeh
- Fatemeh Darsareh (ORCID: https://orcid.org/0000-0003-2644-792X)
- Mohammadsadegh Vahidi Farashah (ORCID: https://orcid.org/0000-0002-2330-8521)
- Nastaran Safavi Ardabili (ORCID: https://orcid.org/0000-0002-5670-7342)
- Sanaz Safarzadeh (ORCID: https://orcid.org/0009-0006-7603-1913)
Institutions
- Iranshahr University (IR)
- Hormozgan University of Medical Sciences (IR)
- Islamic Azad University Ardabil (IR)
- Shahid Beheshti University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1186/s12884-025-07313-9
- Citations
- 17
- Primary Topic
- Infant Health and Development
- Type
- article
- Field-Weighted Citation Impact
- 34.37
Funders
- Hormozgan University of Medical Sciences