(Q43554399)

24 November 2017

Prospective validation of artificial neural network trained to identify acute myocardial infarction (English)

1 reference

24 November 2017

myocardial infarction

1 reference

artificial neural network

inferred from title

1 reference

W G Baxt

1

1 reference

PubMed ID

8531540

24 November 2017

J Skora

series ordinal

2

1 reference

PubMed ID

8531540

24 November 2017

language of work or name

English

0 references

publication date

1 January 1996

1 reference

24 November 2017

1 reference

24 November 2017

347

1 reference

24 November 2017

8993

1 reference

24 November 2017

12-15

1 reference

Clinical prediction rules. Applications and methodological standards

24 November 2017

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Candidates for thrombolysis among emergency room patients with acute chest pain. Potential true- and false-positive rates

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Selecting the best triage rule for patients hospitalized with chest pain

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Prediction rules for patients with suspected myocardial infarction. Applying guidelines in community hospitals

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Sensitivity of routine clinical criteria for diagnosing myocardial infarction within 24 hours of hospitalization

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Use of a rapid assay of subforms of creatine kinase MB to diagnose or rule out acute myocardial infarction

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Use of an artificial neural network for the diagnosis of myocardial infarction

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

A computer protocol to predict myocardial infarction in emergency department patients with chest pain

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Noninvasive carotid artery testing. A meta-analytic review

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

The importance of disease prevalence in transporting clinical prediction rules. The case of streptococcal pharyngitis.

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks.

1 reference

https://api.crossref.org/works/10.1016%2FS0140-6736%2896%2991555-X

7 January 2021

10.1016/S0140-6736(96)91555-X

Identifiers

DOI

1 reference

24 November 2017

1 reference

PubMed ID

8531540