Unravelling the human genome–phenome relationship using phenome-wide association studies
Advances in genotyping technology have, over the past decade, enabled the focused
search for common genetic variation associated with human diseases and traits. With the …
search for common genetic variation associated with human diseases and traits. With the …
Rapid identification of familial hypercholesterolemia from electronic health records: the SEARCH study
MS Safarova, H Liu, IJ Kullo - Journal of clinical lipidology, 2016 - Elsevier
Background Little is known about prevalence, awareness, and control of familial
hypercholesterolemia (FH) in the United States. Objective To address these knowledge …
hypercholesterolemia (FH) in the United States. Objective To address these knowledge …
Electronic health record based algorithm to identify patients with autism spectrum disorder
Objective Cohort selection is challenging for large-scale electronic health record (EHR)
analyses, as International Classification of Diseases 9th edition (ICD-9) diagnostic codes …
analyses, as International Classification of Diseases 9th edition (ICD-9) diagnostic codes …
Developing an algorithm to detect early childhood obesity in two tertiary pediatric medical centers
The objective of this study is to develop an algorithm to accurately identify children with
severe early onset childhood obesity (ages 1–5.99 years) using structured and unstructured …
severe early onset childhood obesity (ages 1–5.99 years) using structured and unstructured …
[HTML][HTML] A quantitative and qualitative evaluation of sentence boundary detection for the clinical domain
Sentence boundary detection (SBD) is a critical preprocessing task for many natural
language processing (NLP) applications. However, there has been little work on evaluating …
language processing (NLP) applications. However, there has been little work on evaluating …
Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis
Abstract Background In the United States, 795,000 people suffer strokes each year; 10–15%
of these strokes can be attributed to stenosis caused by plaque in the carotid artery, a major …
of these strokes can be attributed to stenosis caused by plaque in the carotid artery, a major …
Identifying peripheral arterial disease cases using natural language processing of clinical notes
Peripheral arterial disease (PAD) is a chronic disease that affects millions of people
worldwide. Ascertaining PAD status from clinical notes by manual chart review is labor …
worldwide. Ascertaining PAD status from clinical notes by manual chart review is labor …
Natural language processing: applications in pediatric research
We discuss specific biomedical Natural Language Processing-based applications that cover
a wide spectrum of use cases within the field of translational and health services research. In …
a wide spectrum of use cases within the field of translational and health services research. In …
A multi-locus genetic risk score for abdominal aortic aneurysm
Background We investigated whether a multi-locus genetic risk scores (GRS) was
associated with presence and progression of abdominal aortic aneurysm (AAA) in a case …
associated with presence and progression of abdominal aortic aneurysm (AAA) in a case …
Burden estimates, post-diagnosis care, and outcomes associated with peripheral artery disease in the atherosclerosis risk in communities study
CA Kalbaugh - 2016 - search.proquest.com
Peripheral artery disease (PAD) is a progressive atherosclerotic disorder of the lower
extremities that causes adverse individual-and health care system-level consequences as …
extremities that causes adverse individual-and health care system-level consequences as …