# Comparative performance analysis of ensemble learning methods for fetal health classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparative-performance-analysis-of-ensemble-learning-methods-for-fetal-health/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tasnim Bill Zannah,Sadia Islam Tonni,Md. Alif Sheakh,Mst. Sazia Tahosin,Afjal H. Sarower,Mahbuba Begum |
| Citations | 15 |
| DOI | 10.1016/j.imu.2025.101656 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.imu.2025.101656 |
| OpenAlex ID | https://openalex.org/W4410494328 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Md. Alif Sheakh](https://scholariq.org/researchers/md-alif-sheakh/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Neonatal and fetal brain pathology](https://scholariq.org/topics/neonatal-and-fetal-brain-pathology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.