Displaying results 1 - 8 of 8
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Developing an application ontology for mining clinical reports: the extended syndromic surveillance ontology
Content Type: Abstract
Ontologies representing knowledge from the public health and surveillance domains currently exist. However, they focus on infectious diseases (infectious disease ontology), reportable diseases (PHSkbFretired) and internet surveillance… read more… University of Pittsburgh, Pittsburgh, PA, USA E-mail: michaelambroseconway@gmail.com Objective To develop an application ontologyFthe … -
Challenges in adapting an natural language processing system for real-time surveillance
Content Type: Abstract
We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more… University of Pittsburgh, Pittsburgh, PA, USA E-mail: wendy.w.chapman@gmail.com Objective Adapt an existing natural language … -
Evaluating Syndrome Definitions in the Extended Syndromic Surveillance Ontology
Content Type: Abstract
The Extended Syndromic Surveillance Ontology (ESSO) is an open source terminological ontology designed to facilitate the text mining of clinical reports in English [1,2]. At the core of ESSO are 279 clinical concepts (for example, fever, confusion,… read more… J Am Med Inform Assoc. 2010;17:595�601. *Mike Conway E-mail: michaelambroseconway@gmail.com (page number not for citation purpose) Table 1. … -
Can Chief Complaints Identify Patients with Febrile Syndromes?
Content Type: Abstract
Syndromic surveillance systems often classify patients into syndromic categories based on emergency department (ED) chief complaints. There exists no standard set of syndromes for syndromic surveillance, and the available syndromic case… read more… VALE M-183, 200 Meyran Avenue, Pittsburgh, PA 15260 (e-mail: chapman@cbmi.pitt.edu). 1 Advances in Disease … of an outbreak (23). Near the end of a patient’s visit to a healthcare facility, detailed information about … approxi- mately 40,000 adult patients a year, and patient visit data have been stored in the Medical Archival System … -
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… Analysis. Bled, Slovenia; 2011:75�82. *Annie T. Chen E-mail: atchen@email.unc.edu (page number not for citation purpose) �ISDS … -
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… Indianapolis, IN, USA; and 11NLM, Bethesda, MD, USA E-mail: guy.divita@hsc.utah.edu Objective The Consortium for … -
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… Bled, Slovenia, July 6; 2011:75�82. *Liqin Wang E-mail: liqin.wang@utah.edu (page number not for citation … -
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… *Charles Ishikawa E-mail: cishikawa@syndromic.org (page number not for citation …