Kwabena Kusi-Appouh

The researcher has focused on integrating machine learning techniques into predictive modeling applications within healthcare medicine, particularly in areas such as binary outcome prediction, multi-omics analysis, and uncertainty quantification in AI decision-making processes. Their work emphasizes leveraging these methods to improve diagnostic accuracy and treatment planning, with significant contributions from publications that highlight the effectiveness of ML-driven approaches in addressing complex medical challenges.