Mapping the interplay of clinical risk factors in intracranial aneurysms using Additive Bayesian Networks

Intracranial aneurysms (IAs) are a significant contributor to the global burden of neurological disease. Unruptured IAs (UIAs), found in about 3-5% of the population, are often discovered incidentally. Although rupture is uncommon, it can have severe consequences, and various clinical and lifestyle factors can increase the risk. The primary goal in managing UIAs is to prevent rupture. To support treatment decisions, we aim to better understand how genetic, clinical, and lifestyle factors contribute to aneurysm development. Our objective is to develop a model for IA patient management and assess the outcomes of diferent treatment strategies on a patient level.