MK Ross, W Wei… - Yearbook of medical …, 2014 - thieme-connect.com
Objectives: Implementation of Electronic Health Record (EHR) systems continues to expand. The massive number of patient encounters results in high amounts of stored data …
Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we propose …
RJ Byrd, SR Steinhubl, J Sun, S Ebadollahi… - International journal of …, 2014 - Elsevier
Abstract Objective Early detection of Heart Failure (HF) could mitigate the enormous individual and societal burden from this disease. Clinical detection is based, in part, on …
C Chen, M Song - Representing Scientific Knowledge, 2017 - Springer
The 2014 Ebola outbreak in West Africa raised many urgent concerns about public health and safety, as well as legal and administrative implications. The high mortality rate of the …
S Wu, T Miller, J Masanz, M Coarr, S Halgrim… - PloS one, 2014 - journals.plos.org
A review of published work in clinical natural language processing (NLP) may suggest that the negation detection task has been “solved.” This work proposes that an optimizable …
J Pathak, KR Bailey, CE Beebe… - Journal of the …, 2013 - academic.oup.com
Research objective To develop scalable informatics infrastructure for normalization of both structured and unstructured electronic health record (EHR) data into a unified, concept …
Background Ensuring access to accurate and verified information is essential for effective patient treatment and diagnosis. Although health workers rely on the internet for clinical …
H Yang, JM Garibaldi - Journal of biomedical informatics, 2015 - Elsevier
Coronary artery disease (CAD) is the leading cause of death in both the UK and worldwide. The detection of related risk factors and tracking their progress over time is of great …