Date/Time
Date(s) - 14/03/2023
3:30 pm - 5:00 pm

Speaker: Joel Dubin, University of Waterloo

Title: Challenges of modeling longitudinal intensive care unit data

Abstract: Prediction of health outcomes is an important component for determining how to make recommendations and treat individuals.  Regarding treatment, the intensive care unit (ICU) is a place where many such decisions are made.  A primary goal for ICU patients is treating them to achieve positive outcomes (e.g., hospital discharge alive, improvement from in-hospital ailments, extended survival).  A major analytical issue is the preponderance of information available at ICU entry (e.g., age, sex, co-morbidities, prescriptions, vital signs), and especially longitudinally (e.g., vital sign changes, dynamic renal function, in-ICU treatment).  I will present some interesting analytic challenges utilizing longitudinal data for predictive modeling that my collaborators and I have encountered from a large ICU database, and discuss a few remedies that we have investigated.

Date/Time: Tuesday March 14 2023, 3:30 – 5:00 

Location: MDCL 1115