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Comparison of artificial neural networks with other statistical approaches: results from medical data sets
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scholarly article
1 reference
stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
review article
1 reference
stated in
Europe PubMed Central
title
Comparison of artificial neural networks with other statistical approaches: results from medical data sets
(English)
1 reference
stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
main subject
statistics
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artificial neural network
1 reference
based on heuristic
inferred from title
author name string
Sargent DJ
series ordinal
1
1 reference
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Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
language of work or name
English
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publication date
1 April 2001
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Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
published in
Cancer
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Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
volume
91
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Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
page(s)
1636-1642
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stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
issue
8 Suppl
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stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
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21 January 2018
Evaluating the yield of medical tests
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21 January 2018
Coronary artery bypass risk prediction using neural networks.
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21 January 2018
A comparison of statistical learning methods on the Gusto database.
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An evaluation of machine-learning methods for predicting pneumonia mortality
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Prediction and cross-validation of neural networks versus logistic regression: using hepatic disorders as an example
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A practical application of neural network analysis for predicting outcome of individual breast cancer patients
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Neural Network Analysis of DNA flow cytometry histograms.
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Neural network assessment of perioperative cardiac risk in vascular surgery patients.
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Artificial neural network for risk assessment in preterm neonates
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A neural network model for survival data
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Experiments to determine whether recursive partitioning (CART) or an artificial neural network overcomes theoretical limitations of Cox proportional hazards regression
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Artificial neural networks improve the accuracy of cancer survival prediction.
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retrieved
21 January 2018
Identifiers
DOI
10.1002/1097-0142(20010415)91:8+<1636::AID-CNCR1176>3.0.CO;2-D
1 reference
stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
PubMed ID
11309761
1 reference
stated in
Europe PubMed Central
PubMed ID
11309761
retrieved
25 June 2017
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