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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
1996-3-4
|
| pubmed:abstractText |
This paper discusses two classification models, one based on concept formation and the other using standard logistic regression. The models are first explained in some detail and then evaluated on the same population of trauma patients. The goal of both systems is to predict the outcome of those patients. The results are summarized and explained in terms of differing algorithms of the two models.
|
| pubmed:commentsCorrections | |
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:issn |
0195-4210
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
198-202
|
| pubmed:dateRevised |
2009-11-18
|
| pubmed:meshHeading |
pubmed-meshheading:8563266-Artificial Intelligence,
pubmed-meshheading:8563266-Humans,
pubmed-meshheading:8563266-Learning,
pubmed-meshheading:8563266-Logistic Models,
pubmed-meshheading:8563266-Prognosis,
pubmed-meshheading:8563266-Sensitivity and Specificity,
pubmed-meshheading:8563266-Wounds and Injuries
|
| pubmed:year |
1995
|
| pubmed:articleTitle |
Concept formation vs. logistic regression: predicting death in trauma patients.
|
| pubmed:affiliation |
Carolinas Medical Center/University of North Carolina, USA.
|
| pubmed:publicationType |
Journal Article
|