Linked Life Data

1758220

Source:http://linkedlifedata.com/resource/pubmed/id/1758220

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1992-1-31
pubmed:abstractText
This paper is based on assessments of subjects which are not defined by formal procedures. Logically structured assignment rules are constructed which are stable over time and which have a low number of disagreements with the assessments of the subjects. Recent results obtained from a computational learning theory show that the proposed construction of rules leads with high probability to rules with similar performances on large enough learning and validation sets of subjects. The construction of a set of stable rules is illustrated by using as a case study the psychophysiological, personality and speech behaviour data of a repeated-measures Type A behaviour study. This case study is also used for a discussion of the issue of biased ratings in the presence of assessments which are not defined by formal procedures.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0307-7640
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
307-14
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:articleTitle
Construction of diagnostic rules based on assessments of subjects.
pubmed:affiliation
Federal Institute of Technology, Zürich, Switzerland.
pubmed:publicationType
Journal Article