High-throughput Phenotyping with EHR Sequences. - Shawn N. Murphy; Hossein Estiri; Zachary H. Strasser; Kavishwar B. Wagholikar; Victor M. Castro (AMIA, 2020)

Individualized Prediction of COVID-19 Adverse outcomes with MLHO. - Hossein Estiri; Zachary H. Strasser; Shawn N. Murphy (CoRR, 2020)

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. - Hossein Estiri; Zachary H. Strasser; Jeffrey G. Klann; Thomas H. McCoy Jr.; Kavishwar B. Wagholikar; Sebastien Vasey; Victor M. Castro; Marykate Murphy; Shawn N. Murphy (Patterns, 2020)

A Machine Learning Approach for Identifying Emergent Phenotypes Associated with a Previous COVID Infection. - Zachary H. Strasser; Hossein Estiri; Shawn N. Murphy (AMIA, 2021)

High-throughput phenotyping with temporal sequences. - Hossein Estiri; Zachary H. Strasser; Shawn N. Murphy (J. Am. Medical Informatics Assoc., 2021)

Predicting COVID-19 mortality with electronic medical records. - Hossein Estiri; Zachary H. Strasser; Jeffrey G. Klann; Pourandokht Naseri; Kavishwar B. Wagholikar; Shawn N. Murphy (npj Digit. Medicine, 2021)

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping. - Arianna Dagliati; Zachary H. Strasser; Rebecca Mesa; Zahra Shakeri; Alaleh Azhir; Riccardo Bellazzi; Shawn N. Murphy; Hossein Estiri (AMIA, 2022)

Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions. - Jeffrey G. Klann; Zachary H. Strasser; Chris J. Kennedy; Meghan Hutch; John H. Holmes; Gabriel A. Brat; Shawn N. Murphy (AMIA, 2022)

Machine Learning to Identify Respiratory Sequelae in Patients with COVID-19. - Zachary H. Strasser; Hossein Estiri; Shawn Murphy (AMIA, 2022)

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. - Hossein Estiri; Zachary H. Strasser; Sina Rashidian; Jeffrey G. Klann; Kavishwar B. Wagholikar; Thomas H. McCoy Jr.; Shawn N. Murphy (J. Am. Medical Informatics Assoc., 2022)

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. - Griffin M. Weber; Chuan Hong; Zongqi Xia; Nicolas Paris; Miguel Pedrera-Jiménez; Ashley C. Pfaff; Emily R. Pfaff; Danielle Pillion; Sara Pizzimenti; Hans-Ulrich Prokosch; Robson A. Prudente; Andrea Prunotto; et al. (npj Digit. Medicine, 2022)

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - Harrison G. Zhang; Arianna Dagliati; Zahra Shakeri Hossein Abad; Xin Xiong; Clara-Lea Bonzel; Zongqi Xia; Bryce W. Q. Tan; Paul Avillach; Gabriel A. Brat; Chuan Hong; Michele Morris; Shyam Visweswaran; et al. (npj Digit. Medicine, 2022)

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? - Amelia L. M. Tan; Emily J. Getzen; Meghan R. Hutch; Zachary H. Strasser; Alba Gutiérrez-Sacristán; Trang T. Le; Arianna Dagliati; Michele Morris; David A. Hanauer; Bertrand Moal; Clara-Lea Bonzel; William Yuan; et al. (J. Biomed. Informatics, 2023)