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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
6
|
| pubmed:dateCreated |
1997-10-22
|
| pubmed:abstractText |
The 12-lead ECG, together with patient history and clinical findings, remains the most important method for early diagnosis of acute myocardial infarction. Automated interpretation of ECG is widely used as decision support for less experienced physicians. Recent reports have demonstrated that artificial neural networks can be used to improve selected aspects of conventional rule-based interpretation programs. The purpose of this study was to detect acute myocardial infarction in the 12-lead ECG with artificial neural networks.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
AIM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Sep
|
| pubmed:issn |
0009-7322
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:day |
16
|
| pubmed:volume |
96
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
1798-802
|
| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:9323064-Adult,
pubmed-meshheading:9323064-Aged,
pubmed-meshheading:9323064-Aged, 80 and over,
pubmed-meshheading:9323064-Cardiology,
pubmed-meshheading:9323064-Electrocardiography,
pubmed-meshheading:9323064-Humans,
pubmed-meshheading:9323064-Middle Aged,
pubmed-meshheading:9323064-Myocardial Infarction,
pubmed-meshheading:9323064-Neural Networks (Computer),
pubmed-meshheading:9323064-Sensitivity and Specificity
|
| pubmed:year |
1997
|
| pubmed:articleTitle |
Acute myocardial infarction detected in the 12-lead ECG by artificial neural networks.
|
| pubmed:affiliation |
Department of Clinical Physiology, Lund University, Sweden.
|
| pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
|