(Q48967358)

17 February 2018

title

Recognition of patients with cardiovascular disease by artificial neural networks. (English)

1 reference

17 February 2018

artificial neural network

main subject

cardiovascular disease

1 reference

based on heuristic

inferred from title

0 references

author

Damiano Baldassarre

1

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17 February 2018

Mauro Amato

Mauro Amato

5

0 references

Elena Tremoli

Elena Tremoli

6

0 references

Massimo Buscema

Massimo Buscema

3

0 references

Cesare R Sirtori

11

Cesare R Sirtori

1 reference

17 February 2018

Samuela Castelnuovo

8

Samuela Castelnuovo

1 reference

17 February 2018

Linda Pustina

7

Linda Pustina

1 reference

17 February 2018

Silvia Sanvito

9

Silvia Sanvito

1 reference

17 February 2018

Lorenzo Gerosa

10

Lorenzo Gerosa

1 reference

17 February 2018

author name string

Enzo Grossi

2

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17 February 2018

Marco Intraligi

4

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17 February 2018

language of work or name

English

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publication date

1 January 2004

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17 February 2018

published in

Annals of Medicine

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17 February 2018

volume

36

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17 February 2018

issue

8

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17 February 2018

page(s)

630-640

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17 February 2018

describes a project that uses

artificial neural network

1 reference

based on heuristic

inferred from title

cites work

Cardiovascular disease risk profiles.

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Is carotid intima-media thickness useful in cardiovascular disease risk assessment? The Rotterdam Study

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Artificial neural networks: current status in cardiovascular medicine

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Münster Study (PROCAM) using neural networks.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

A neural computational aid to the diagnosis of acute myocardial infarction.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Back propagation neural networks.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Artificial neural networks improve the prediction of mortality in intracerebral hemorrhage.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Neural network applications in physical medicine and rehabilitation

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

Neural networks: what are they?

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07853890410018880

10.1080/07853890410018880

21 January 2018

Identifiers

DOI

1 reference

17 February 2018

1 reference

17 February 2018