Towards ITM: Probabilistic Models of Cerebral Aneurysms
The objective of this proposal, which builds on previous MII research, is to create an informatics infrastructure to explain the genesis, progression, and treatment of intracranial aneurysms (ICAs). A set of processing pipelines will extract free-text and imaging clinical data for development of a phenomenon-centric data model (PCDM) and Bayesian belief network (BBN) to model ICAs. Together, the PCDM and BBN allow for progressive refinement of the ICA model as clinicians examine new cases. A combined dataset of 2,000 retrospective and prospective cases will be used in the database, built in collaboration with the UCLA Division of Interventional Neuroradiology.