A review of evidence of health benefit from artificial neural networks in medical intervention.
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Recent translational research: computational studies of breast cancerArtificial neural networks allow the use of simultaneous measurements of Alzheimer disease markers for early detection of the disease.Artificial Neural Networks as Decision Support Tools in Cytopathology: Past, Present, and FutureBig data and clinicians: a review on the state of the scienceAnalysis of Airborne Biomarkers for Point-of-Care DiagnosticsComplementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and ChallengesApplication of artificial neural networks to investigate one-carbon metabolism in Alzheimer's disease and healthy matched individualsModeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future DirectionsPredicting rotator cuff tears using data mining and Bayesian likelihood ratiosAdvances in electronic-nose technologies developed for biomedical applications.Context-sensitive autoassociative memories as expert systems in medical diagnosis.New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background.The use of artificial neural networks in prediction of congenital CMV outcome from sequence data.Polymorphisms in folate-metabolizing genes, chromosome damage, and risk of Down syndrome in Italian women: identification of key factors using artificial neural networks.Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy.Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory data.Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random foComparison of the data classification approaches to diagnose spinal cord injuryLow bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysisRecognition of morphometric vertebral fractures by artificial neural networks: analysis from GISMO Lombardia Database.Predicting extubation outcome in preterm newborns: a comparison of neural networks with clinical expertise and statistical modeling.Are artificial neural networks "ready to use" for decision making in the neonatal intensive care unit? Commentary on the article by Mueller et al. and page 11.Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic AlgorithmsPossible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis.Use of computerized decision support systems to improve antibiotic prescribing.Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.Presymptomatic prediction of sepsis in intensive care unit patients.Predicting technique survival in peritoneal dialysis patients: comparing artificial neural networks and logistic regressionComparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency departmentArtificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis.The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.Cost prediction of antipsychotic medication of psychiatric disorder using artificial neural network model.γ -H2AX: A Novel Prognostic Marker in a Prognosis Prediction Model of Patients with Early Operable Non-Small Cell Lung Cancer.Models for prediction of mortality from cirrhosis with special reference to artificial neural network: a critical review.Improving diagnostic recognition of primary hyperparathyroidism with machine learning.Artificial Neural Network Approach in Laboratory Test Reporting: Learning Algorithms.Artificial neural networks in prediction of bone density among post-menopausal women.A new approach to improve TMJ morphological information from plain film radiographs.Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.
P2860
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P2860
A review of evidence of health benefit from artificial neural networks in medical intervention.
description
2002 nî lūn-bûn
@nan
2002 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
A review of evidence of health ...... works in medical intervention.
@ast
A review of evidence of health ...... works in medical intervention.
@en
A review of evidence of health ...... works in medical intervention.
@nl
type
label
A review of evidence of health ...... works in medical intervention.
@ast
A review of evidence of health ...... works in medical intervention.
@en
A review of evidence of health ...... works in medical intervention.
@nl
prefLabel
A review of evidence of health ...... works in medical intervention.
@ast
A review of evidence of health ...... works in medical intervention.
@en
A review of evidence of health ...... works in medical intervention.
@nl
P1433
P1476
A review of evidence of health ...... works in medical intervention.
@en
P2093
P356
10.1016/S0893-6080(01)00111-3
P577
2002-01-01T00:00:00Z