Quality of birth care and risk factors of length of stay after birth: A machine learning approach
Type of delivery which is an indicator of quality of birth care is a strong predictor of LOS after birth according to the Random Forest model. We demonstrated that machine learning techniques offer precise LOS prediction after birth. Further studies assessing the effect of quality of birth care on predicting LOS at birth would be beneficial.
Authors
- Songül Çınaroğlu (ORCID: https://orcid.org/0000-0001-5699-8402)
- Büşra Saylan (ORCID: https://orcid.org/0000-0002-1296-1824)
Institutions
- Hacettepe University (TR)
Publication Details
- Journal
- Journal of obstetrics and gynaecology research
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1111/jog.16072
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00