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 AccessBody Image: a Cross-sectional Study of the Perception and Practices of Women After Delivery
Open AccessEvaluating the Effectiveness of an Evidence-Based Practice in Neonatal Resuscitation among Birth Asphyxiated Newborns in a Developing Country
Open AccessA supervised machine learning algorithm for detecting and predicting fraud in credit card transactions
Open AccessSupervised Machine Learning Algorithm Approach to Detecting and Predicting Fraud in Credit Card Transactions
Open AccessAcademic 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