A multi-center study on the adaptability of a shared foundation model for electronic health records
Foundation models are transforming artificial intelligence (AI) in healthcare by providing
modular components adaptable for various downstream tasks, making AI development more …
modular components adaptable for various downstream tasks, making AI development more …
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks
Objective Development of electronic health records (EHR)-based machine learning models
for pediatric inpatients is challenged by limited training data. Self-supervised learning using …
for pediatric inpatients is challenged by limited training data. Self-supervised learning using …
Distilling the Knowledge from Large-language Model for Health Event Prediction
Health event prediction is empowered by the rapid and wide application of electronic health
records (EHR). In the Intensive Care Unit (ICU), precisely predicting the health related …
records (EHR). In the Intensive Care Unit (ICU), precisely predicting the health related …
LIFE: A Deep Learning Framework for Laboratory Data Imputation in Electronic Health Records
SP Heilbroner, C Carter, DM Vidmar, ET Mueller… - medRxiv, 2023 - medrxiv.org
Laboratory data in electronic health records (EHRs) is an effective source of information to
characterize patient populations, inform accurate diagnostics and treatment decisions, and …
characterize patient populations, inform accurate diagnostics and treatment decisions, and …