Background: Shifts in the supply of and demand for emergency department (ED) resources
make the efficient allocation of ED resources increasingly important. Forecasting is a vital …

BACKGROUND & AIMS: Colorectal cancer (CRC) risk estimates based on family history
typically include only close relatives. We report familial relative risk (FRR) in probands with …

Objective: To evaluate the performance of a natural language processing system in extracting
pneumonia-related concepts from chest x-ray reports. Methods: Design: Four physicians, …

The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the
Office of the National Coordinator for Health Information Technology in 2010 supports …

In this study, we evaluate the performance of a Natural Language Processing (NLP)
application designed to extract medical problems from narrative text clinical documents. The …

STUDY OBJECTIVE: The goals of this investigation were to study the temporal relationships
between the demands for key resources in the emergency department (ED) and the …

The goal of this study was to determine the accuracy and the impact of 5 different claims-based
pneumonia definitions. Three International Classification of Diseases, Version 9,(ICD-9), …

When machine learning algorithms are applied to data collected during the course of clinical
care, it is generally accepted that the data has not been consistently collected. The absence …

Objective: Develop and evaluate a natural language processing application for classifying
chief complaints into syndromic categories for syndromic surveillance. Introduction: Much of …

Research objective To develop scalable informatics infrastructure for normalization of both
structured and unstructured electronic health record (EHR) data into a unified, concept-based …