Linked Life Data

2249420

Source:http://linkedlifedata.com/resource/pubmed/id/2249420

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3-4
pubmed:dateCreated
1991-1-17
pubmed:abstractText
One approach of improving metabolic control in type I diabetic patients is the application of computer-aided procedures aimed at supporting the decision on optimal therapeutic regimens. To accomplish this, a complex strategy was developed which in an individual patient permits (1) the evaluation of metabolic data by means of statistical and graphical methods, and (2) the prediction of the outcome in feedback and in non-feedback-controlled insulin therapy. The latter is realized by means of simulation, employing a structured model of the glucose-insulin control system where the model parameters can either be identified individually or be taken at random. The practical applicability was validated in C-peptide-negative type I diabetic patients who were on intensified insulin injection therapy. The comparison between theoretical predictions and daily glycaemic profiles measured by the patients under ambulatory conditions showed close correspondence which justifies the application of this method as a clinical decision support.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0169-2607
pubmed:author
pubmed:issnType
Print
pubmed:volume
32
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
215-24
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed:articleTitle
Computer-aided systems in the management of type I diabetes: the application of a model-based strategy.
pubmed:affiliation
Central Institute of Diabetes Gerhardt Katsch, Karlsburg, G.D.R.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't