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Department of Statistics and Actuarial ScienceSocial SciencesPhysical SciencesHealth Sciences

Sandra Addai-Henne

5 Publications3 Research Themes5 Open Access

Research Overview & Focus

The researcher's work integrates innovative approaches across multiple disciplines, combining advancements in machine learning for imbalanced data classification in fraud detection to study eating disorders post-childbirth with a focus on neonatal respiratory health research.

Key Research Themes (3)

Social Sciences

Eating Disorders and Behaviors

Physical Sciences

Imbalanced Data Classification Techniques

Health Sciences

Neonatal Respiratory Health Research

Publications (5)

Body image: a cross-sectional study of the perception and practices of women after delivery

Open Access

2025Eating Disorders and BehaviorsDOI: 10.1186/s12884-025-08112-y

Body Image: a Cross-sectional Study of the Perception and Practices of Women After Delivery

Open Access

2024Eating Disorders and BehaviorsDOI: 10.21203/rs.3.rs-4450030/v1

Evaluating the Effectiveness of an Evidence-Based Practice in Neonatal Resuscitation among Birth Asphyxiated Newborns in a Developing Country

Open Access

2024Neonatal Respiratory Health ResearchDOI: 10.1177/23779608241302098

A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions

Open Access

2023Imbalanced Data Classification TechniquesDOI: 10.1016/j.dajour.2023.100163

Supervised Machine Learning Algorithm Approach to Detecting and Predicting Fraud in Credit Card Transactions

Open Access

2022Imbalanced Data Classification TechniquesDOI: 10.2139/ssrn.4287319

Academic Metrics

DepartmentDepartment of Statistics and Actuarial Science

Total Publications5

Research Themes3

Open Access Papers5

Department of Statistics and Actuarial Science

Kwame Nkrumah University of Science and Technology

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