Displaying results 9 - 15 of 15
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Standardization to aid interoperability between NLP system
Content Type: Abstract
There are a number of Natural Language Processing (NLP) annotation and Information Extraction (IE) systems and platforms that have been successfully used within the medical domain. Although these groups share components of their systems, there… read more… Divita et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 21 Veterans Affairs has a real need to … 1–2 December 2010. References 1 Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for … Annotation Workshop, ACL-IJCNLP 2009, pp 27–34. www.aclweb.org/anthol- ogy/W/W09/W09-3004.pdf. 3 Dolin R, … -
Unstructured Free-text Data and Meaningful Use
Content Type: Abstract
In 2010, as rules for the Centers for Medicaid and Medicare Electronic Heatlh Record (EHR) Incentive Programs (Meaningful Use)(1), were finalized, ISDS became aware of a trend towards new EHR systems capturing or sending emergency department (ED)… read more… Public Health Syndromic Surveillance. Available online: www.syndromic.org/projects/meaningful-use. *Charles Ishikawa … 2011, 4: 11096 - DOI: 10.3402/ehtj.v4i0.11096 http://www.syndromic.org/projects/meaningful-use 1-25 ehtj11702 … -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.… N. Dowling, MD, MS1, Debbie Travers, PhD, RN2, Gregory F. Coo- per, MD, PhD1, Wendy W. Chapman, PhD1 Department of … -
Using cKASS to facilitate knowledge authoring and sharing for syndromic surveillance
Content Type: Abstract
Mining text for real-time syndromic surveillance usually requires a comprehensive knowledge base (KB) which contains detailed information about concepts relevant to the domain, such as disease names, symptoms, drugs, and radiology findings. Two such… read more… modify and publish customized syndrome definitions con- structed from either publicly available or user-created … -
A web-based platform to support text mining of clinical reports for public health surveillance
Content Type: Abstract
PyConTextKit is a web-based platform that extracts entities from clinical text and provides relevant metadata - for example, whether the entity is negated or hypothetical - using simple lexical clues occurring in the window of text surrounding the… read more… processing; ontology; text mining References 1. Chapman WW, Chu D, Dowling JN. ConText: An algorithm for identifying … 2007:81�8. 2. Chapman BE, Lee S, Kang, HP, Chapman WW. Document-level classification of CT pulmonary … 10.1016/j.jbi.2011.03.011. 3. Okhamatovskaia A, Chapman WW, Collier N, Espino J, Buck- eridge D. SSO: the syndromic … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more… to structured data sources. References 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more… http://umlsks.nlm.nih.gov, 2007(Version 5.0). 2. Chapman WW, et.al. A simple algorithm for identifying negated …