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 Wednesday, March 20th at 3:00 pm in Robertson Library, Room 208.

Presentation Title: Empowering Clinicians with Machine Learning

Abstract: My work is focused on applying machine learning techniques to clinical data to improve the healthcare system. I will present two of my ongoing projects. The first project is about using real-time information to predict ICU-transfer of patients. The preliminary study shows that using real-time information (in the form of short text messages between nurses and doctors regarding the patients’ condition) can improve the ICU-transfer prediction accuracy. The second project, 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. 

All are welcome to attend.