Čerapaitė-Trušinskienė, Reda

This thesis employs a data-driven approach, utilizing a dataset of patient information from the Hospital of Lithuanian University of Health Sciences Kauno klinikos, to explore perioperative risk stratification for pheochromocytoma patients. By analyzing individual patient characteristics, tumor attributes, and surgical variables, the study aims to uncover patterns and correlations influencing surgical outcomes. The findings contribute to the development of a patient-centric risk stratification framework, based on data from Kauno klinikos, facilitating personalized preoperative assessments and improving overall patient care.