Semantic Modeling of Cohort Descriptions in Research Studies

The paper proposes a new approach for augmenting clinical guideline recommendations with information about patient populations from cited literature. This approach is based on techniques from the fields of information extraction and knowledge representation, and involves the development of a Cohort Ontology to model patient groups and interventions mentioned in cited publications. The ultimate goal of this approach is to assist physicians and computers in suggesting recommendations for complex patients using cohort alignment.