The School of Mathematical and Computational Sciences welcomes the campus community to a public research presentation by Dr. Faiza Khan Khattak, candidate for tenure track position in Data Analytics, on Monday, March 4th at 3:00 pm at Cass Science Hall, Room 101. 

Presentation Title: Automatic extraction of information from patient-clinician dialogues

Abstract: AutoScribe is a system for automatically extracting pertinent medical information from dialogues between clinicians and patients. The system parses the dialogue and extracts entities such as medications and symptoms, using context to predict which entities are relevant. It also classifies the primary diagnosis for each conversation. A novelty of this work is that, unlike most of the existing systems which primarily use lexicon-based term matching, AutoScribe uses linguistic context and time information to extract entities and also determines which entities are relevant. 

All are welcome to attend.