Linked Life Data

2249429

Source:http://linkedlifedata.com/resource/pubmed/id/2249429

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
This paper describes a computer system to advice on insulin therapy for diabetic in-patients. A mathematical model was developed to describe the effect of insulin on blood glucose (BG) level. The system uses an adaptive approach to analyse the response to an applied insulin dosage. It learns the patient's individual parameters. All conventional injection and insulin pump regimens are supported. The individualised model is used to predict BG level of the proposed insulin dosage. The system uses a generate-reject strategy to output optimum insulin therapy in terms of optimum BG. The predictive capability of the system was tested and it is able to predict BG with a precision of 2.5 mmol/l after 3 days and 6 days of insulin pump treatment and conventional injection therapy, respectively.
pubmed:grant
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
303-10
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed:articleTitle
A consultation system for insulin therapy.
pubmed:affiliation
Centre for Measurement & Information in Medicine, Department of Systems Science, City University, London, U.K.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't