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Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding

Gastrointestinal endoscopy, 2011-02, Vol.73 (2), p.218-226.e2

2011

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Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

World journal of gastroenterology : WJG, 2008-01, Vol.14 (4), p.563-568

2008

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Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis

World journal of gastroenterology : WJG, 2005-10, Vol.11 (37), p.5867

2005

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Artificial neural networks allow the use of simultaneous measurements of Alzheimer disease markers for early detection of the disease

Journal of translational medicine, 2005-07, Vol.3 (1), p.30-30, Article 30

2005

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Use of Artificial Networks in Clinical Trials: A Pilot Study to Predict Responsiveness to Donepezil in Alzheimer's Disease

Journal of the American Geriatrics Society (JAGS), 2002-11, Vol.50 (11), p.1857-1860

2002

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Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)

Biomedical informatics insights, 2008-01, Vol.2008 (1), p.BII.S814

2008

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Appropriateness Guidelines and Predictive Rules to Select Patients for Upper Endoscopy: A Nationwide Multicenter Study

The American journal of gastroenterology, 2010-06, Vol.105 (6), p.1327-1337

2010

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Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis

World journal of gastroenterology : WJG, 2005-10, Vol.11 (37), p.5867

Lahner, Edith

2005

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Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data

European journal of gastroenterology & hepatology, 2005-06, Vol.17 (6), p.605-610

2005

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Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)

Biomedical informatics insights, 2008-01, Vol.1, p.7-19

2008

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Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status

Neuroinformatics (Totowa, N.J.), 2004, Vol.2 (4), p.399-416

2004

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Recognition of patients with cardiovascular disease by artificial neural networks

Annals of medicine (Helsinki), 2004, Vol.36 (8), p.630-640

2004

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Application of the Constraint Satisfaction Network

Intelligent Data Mining in Law Enforcement Analytics, 2012, p.231-313

2012

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Auto-Identification of a Drug Seller Utilizing a Specialized Supervised Neural Network

Intelligent Data Mining in Law Enforcement Analytics, 2012, p.167-175

2012

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Artificial neural networks (ANN) in predicting atrophic body gastritis (ABG): evidence for an high accuracy

Digestive and liver disease, 2001-11, Vol.33, p.A1-A1

2001

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Artificial Neural Networks for Drug Vulnerability Recognition and Dynamic Scenarios Simulation

Substance use & misuse, 1998-01, Vol.33 (3), p.587-623

1998

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Application of Artificial Neural Networks to Eating Disorders

Substance use & misuse, 1998-01, Vol.33 (3), p.765-791

1998

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Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding

Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis

Artificial neural networks allow the use of simultaneous measurements of Alzheimer disease markers for early detection of the disease

Use of Artificial Networks in Clinical Trials: A Pilot Study to Predict Responsiveness to Donepezil in Alzheimer's Disease

Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)

Appropriateness Guidelines and Predictive Rules to Select Patients for Upper Endoscopy: A Nationwide Multicenter Study

Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis

Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data

Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)

Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status

Recognition of patients with cardiovascular disease by artificial neural networks

Application of the Constraint Satisfaction Network

Auto-Identification of a Drug Seller Utilizing a Specialized Supervised Neural Network

Artificial neural networks (ANN) in predicting atrophic body gastritis (ABG): evidence for an high accuracy

Artificial Neural Networks for Drug Vulnerability Recognition and Dynamic Scenarios Simulation

Application of Artificial Neural Networks to Eating Disorders

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