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Part of book or chapter of book . 2009 . Peer-reviewed

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Article . 2009

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Medical Text Analytics Tools for Search and Classification

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2009Publisher:IOS Press

Authors: Jimmy, Huang; Aijun, An; Vivian, Hu; Karen, Tu;

doi: 10.3233/978-1-58603-979-0-519

pmid: 19380986

Medical Text Analytics Tools for Search and Classification

- Summary
- Subjects
- Metrics

Abstract

A text-analytic tool has been developed that accepts clinical medical data as input in order to produce patient details. The integrated tool has the following four characteristics. 1) It has a graphical user interface. 2) It has a free-text search tool that is designed to retrieve records using keywords such as “MI” for myocardial infarction. The result set is a display of those sentences in the medical records that contain the keywords. 3) It has three tools to classify patients based on the likelihood of being diagnosed for myocardial infarction, hypertension, or their smoking status. 4) A summary is generated for each patient selected. Large medical data sets provided by the Institute for Clinical Evaluative Sciences were used during the project.

Related Organizations

York University
Canada
Institute for Clinical Evaluative Sciences
Canada

Keywords

User-Computer Interface, Medical Records Systems, Computerized, Terminology as Topic, Data Display, Information Storage and Retrieval

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average