Predicting maternal risk level using machine learning models
We applied several machine learning models to predict maternal risk levels for the first time using real data from Oman. RF outperformed the other algorithms in this classification problem. A reliable estimate of maternal risk level would facilitate intervention plans for medical practitioners to reduce maternal death.
Authors
- Mali Abdollahian (ORCID: https://orcid.org/0000-0001-5624-0896)
- Laleh Tafakori (ORCID: https://orcid.org/0000-0002-0815-8094)
- Sulaiman Salim Al Mashrafi
Institutions
- MIT University (MK)
- Ministry of Health (OM)
- Directorate General of Health Services (BD)
- RMIT University (AU)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12884-024-07030-9
- Citations
- 22
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 24.40