Application of artificial neural networks to clinical medicine (Q40369118)

19 September 2017

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title

Application of artificial neural networks to clinical medicine (English)

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artificial neural network

19 September 2017

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author name string

W G Baxt

series ordinal

1

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PubMed ID

7475607

19 September 2017

language of work or name

English

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publication date

1 October 1995

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19 September 2017

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19 September 2017

346

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19 September 2017

8983

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19 September 2017

1135-1138

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Introduction to neural networks.

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

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

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

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Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research

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Diagnosis of focal bone lesions using neural networks.

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Application of neural networks to automated assignment of NMR spectra of proteins.

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The use of computer-assisted diagnosis in cardiac perfusion nuclear medicine studies: a review (Part 3)

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Detection of electrocardiographic 'left ventricular strain' using neural nets.

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Differentiation of beats of ventricular and sinus origin using a self-training neural network.

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Implantable cardioverter defibrillator electrogram recognition with a multilayer perceptron.

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Application of neural networks for EEG analysis. Considerations and first results

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Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers.

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Pattern recognition of the electroencephalogram by artificial neural networks.

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Feature-based detection of the K-complex wave in the human electroencephalogram using neural networks

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Neural network based classification of single-trial EEG data

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Artificial neural networks for cancer research: outcome prediction

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A practical application of neural network analysis for predicting outcome of individual breast cancer patients

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Application of backpropagation neural networks to diagnosis of breast and ovarian cancer.

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Predicting outcomes after liver transplantation. A connectionist approach.

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Predictive statistics and artificial intelligence in the U.S. National Cancer Institute's Drug Discovery Program for Cancer and AIDS.

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Application of neural networks to pharmacodynamics.

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

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Identifiers

DOI

1 reference

19 September 2017

1 reference

PubMed ID

7475607