Sarah Mullin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 4

Top Topics

Atrial Fibrillation

Machine Learning

Gestational Age

Artificial Intelligence

Top Venues

JMIR medical informatics

Journal of medical Internet research

This page only lists publications with an associated author ORCID identifier.

Publications

Angie Li, Sarah Mullin, Peter L Elkin
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models. JMIR medical informatics 12 (2024)
Angie Li, Sarah Mullin, Peter L Elkin
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models. JMIR medical informatics 12 (2024)
Angie Li, Sarah Mullin, Peter L Elkin
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models. JMIR medical informatics 12 (2024)
Peter L Elkin, Sarah Mullin, Jack Mardekian, Christopher Crowner, Sylvester Sakilay, Shyamashree Sinha, Gary Brady, Marcia Wright, Kimberly Nolen, JoAnn Trainer, Ross Koppel, Daniel Schlegel, Sashank Kaushik, Jane Zhao, Buer Song, Edwin Anand
Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record's Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study. Journal of medical Internet research 23 (11) (2021)