Predicting antenatal care dropout using machine learning and describing maternal and neonatal outcomes by dropout status in Sidama Region, Ethiopia: a retrospective cohort study.
Saved in:
| Title: | Predicting antenatal care dropout using machine learning and describing maternal and neonatal outcomes by dropout status in Sidama Region, Ethiopia: a retrospective cohort study. |
|---|---|
| Authors: | Yoseph A; School of Public Health, College of Medicine and Health Sciences, Hawassa University, Awassa, Ethiopia amanuelyoseph45@gmail.com., Mussie L; Adare General Hospital, Hawassa City Administration, Hawassa, Ethiopia., Belayneh M; School of Public Health, College of Medicine and Health Sciences, Hawassa University, Awassa, Ethiopia. |
| Source: | BMJ open [BMJ Open] 2026 Jul 10; Vol. 16 (7), pp. e111423. Date of Electronic Publication: 2026 Jul 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2044-6055 |
|---|---|
| DOI: | 10.1136/bmjopen-2025-111423 |
