Discovering Latent Representations for Patient State in Intensive Care Units

Wednesday, November 18, 2015
11:45am - 12:45pm
POB 2.402

AbstractThe Intensive Care Unit (ICU) is playing an expanding role in acute hospital care, but the value of many treatments and interventions in the ICU is unproven, and high-quality data supporting or discouraging specific practices are sparse. Much prior work in clinical modeling has focused on building discriminating models to detect specific coded outcomes (e.g., hospital mortality) under specific settings, or understanding the predictive value of various types of clinical information without taking interventions into account. In this talk, we discuss our recent work on creating latent features for outcome prediction, and intervention prediction. In both settings, we use the publicly available MIMIC database to investigate whether we can predict mortality, and interventions in an empirically sound way. We demonstrate that latent representations of patient state are predictive of important clinical targets, and practically useful for creating data-driven clinical guidelines.


PhD Student
Massachusetts Institute of Technology

Marzyeh Ghassemi is a PhD student in the Clinical Decision Making Group (MEDG) in MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) supervised by Prof. Peter Szolovits. Her research uses machine learning techniques and statistical modeling to predict and stratify relevant human risks. Marzyeh is interested in creating probabilistic latent variable models to estimate the underlying physiological state of patients during critical illnesses. She is also interested in understanding the development and progression of conditions like hearing loss and vocal hyperfunction using a combination of sensor data, clinical observations, and other physiological measurements.

While at MIT, Marzyeh has served on MIT’s Women’s Advisory Group Presidential Committee, as Connection Chair to the Women in Machine Learning Workshop, on MIT’s Corporation Joint Advisory Committee on Institute-wide Affairs, and on MIT’s Committee on Foreign Scholarships. Prior to MIT, Marzyeh received two B.S. degrees in computer science and electrical engineering with a minor in applied mathematics from New Mexico State University as a Goldwater Scholar, and a MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar. She also worked at Intel Corporation in the Rotation Engineering Program, and then as a Market Development Manager for the Emerging Markets Platform Group.