Quality of birth care and risk factors of length of stay after birth: A machine learning approach.

Journal: The journal of obstetrics and gynaecology research

PMID: 39285686

Abstract

AIM: Length of stay (LOS) is an outcome measure and is assumed to be related to quality. The objective of this study is to examine the quality of birth care and risk factors associated with LOS after birth.

Authors

Songul Cinaroglu

Faculty of Economics and Administrative Sciences (FEAS), Department of Health Care Management, Hacettepe University, Ankara, Turkey.
Busra Saylan

Faculty of Economics and Administrative Sciences (FEAS), Department of Health Care Management, Hacettepe University, Ankara, Turkey.

Keywords

Adolescent Adult Delivery, Obstetric Female Humans Length of Stay Machine Learning Middle Aged Pregnancy Quality of Health Care Risk Factors Turkey Young Adult

External Resources

View on PubMed Access via DOI PubMed (39285686)

Quality of birth care and risk factors of length of stay after birth: A machine learning approach.

Abstract

Authors

Keywords

External Resources

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