Program Schedule

S69: Oral Presentations - The Crystal Ball: EHR Data and the Power of Prediciton

Speaker(s):

Session Chair: Shauna Overgaard, Mayo Clinic Speaker: Chen Liang, PhD, University of South Carolina Speaker: Davide Ferrari, King's College London Speaker: Feng Xie, Stanford University (current) / Duke-NUS Medical School Speaker: Santiago Romero Brufau, Mayo Clinic Speaker: Satyabrata Pati, Mayo Clinic

Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling Speaker: Satyabrata Pati, Mayo Clinic Speaker: Daniel Allen Speaker: Margaret Paulson Speaker: Rajeev Chaudhry, Mayo Clinic Foundation Speaker: Michael Maniaci

Temporal Events Detector for Pregnancy Care (TED-PC): A Rule-based Algorithm to Infer Gestational Age and Delivery Date from Electronic Health Records of Pregnant Women with and without COVID-19 Speaker: Chen Liang, PhD, University of South Carolina

Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records Speaker: Feng Xie, Stanford University (current) / Duke-NUS Medical School

Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art Speaker: Davide Ferrari, King's College London

Long-term accuracy of a hybrid model to automate triage for patients with dizziness Speaker: Santiago Romero Brufau, Mayo Clinic