Clinical Temporal Expression Mining
The aim of this project is to extract mentions of temporal expressions in clinical narratives (and patient-generated data) using a combination of rule-based and machine-learning methods. We also aim to normalise those mentions through mapping them to their value (using the ISO-8601 representation (e.g. “2012-10-31T09:00″) and type (e.g. Date, Duration, Frequency). This work is part of Michele’s and Azad’s PhDs.