Linked Life Data

8963372

Source:http://linkedlifedata.com/resource/pubmed/id/8963372

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1996-12-17
pubmed:abstractText
Our computer program TrenDx detects clinically significant trends in time-ordered patient data by matching data to patterns called trend templates, denoting multivariate temporal and value variation in normality and in disease. Previously a purely constraint-based TrenDx diagnosed pediatric growth trends and reached the same diagnoses as a panel of experts, at a time no later than the experts, in most of 30 cases. Improvement required resolving outstanding representational issues. In this paper we describe regression-based trend templates, updated TrenDx algorithms, and their application to monitoring intensive care unit and pediatric growth data. We focus on new results in diagnosing pediatric growth trends, and discuss potential application domains for TrenDx.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0933-3657
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
473-96
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Clinical monitoring using regression-based trend templates.
pubmed:affiliation
General Electric Corporate Research and Development, Schenectady, NY 12309, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't