Mining clinical relationships from patient narratives

The Clinical E-Science Framework (CLEF) project is used to extract important information from medical texts by building a system for the purpose of clinical research, evidence-based healthcare and genotype-meets-phenotype informatics. The system is divideA corpus of oncology narratives that hand annotated with clinical relationships can be used to train and test a system that has been designed and implemented by supervised machine learning (ML) approaches. Many features can be extracted from these texts tSystem has been built and implemented using different supervised machine learning algorithms for relation extraction and trained and tested it on a corpus of oncology narratives hand annotated with clinically important relationships. Over five algorithms,