Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …

Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …

Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …

Objective To determine the effects of using unstructured clinical text in machine learning
(ML) for prediction, early detection, and identification of sepsis. Materials and methods …

The migration of imaging reports to electronic medical record systems holds great potential
in terms of advancing radiology research and practice by leveraging the large volume of …

In this paper we describe an algorithm called ConText for determining whether clinical
conditions mentioned in clinical reports are negated, hypothetical, historical, or experienced …

The ability to predict psychiatric readmission would facilitate the development of
interventions to reduce this risk, a major driver of psychiatric health-care costs. The …

Objective The aim of this paper is to report on the use of the systematised nomenclature of
medicine clinical terms (SNOMED CT) by providing an overview of published papers …

Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …

Objective To compare linear and Laplacian SVMs on a clinical text classification task; to
evaluate the effect of unlabeled training data on Laplacian SVM performance. Background …