article Open AccessTop 1% cited
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
Neural Networks · 2007 · Vol. 21(2-3) · pp. 427–436
Maciej A. Mazurowski✉(University of Louisville)Piotr A. Habas(University of Louisville)Jacek M. Zurada(University of Louisville)Joseph Y. Lo(Duke University Hospital)Jay A. Baker(Duke University Hospital)Georgia D. Tourassi(Duke Medical Center)
Imbalanced Data Classification TechniquesAI in cancer detectionArtificial Intelligence in HealthcareComputer scienceArtificial intelligenceArtificial neural networkOversamplingMachine learningClassifier (UML)Particle swarm optimizationBackpropagationTraining setSample size determination
MeSH terms
AlgorithmsArtificial IntelligenceElectronic Data ProcessingBreast NeoplasmsComputer SimulationDecision MakingDiagnosis, Computer-AssistedFeedbackHumansROC CurveNeural Networks, Computer
Funding
- University of Louisville
- Jain University
- National Cancer Institute
Citations
728
FWCI
21.89
field-weighted impact
References
48
Percentile
99%
vs. same field & year
Citations per year
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References
Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success
BMJ · 2005 · 2,688 citations
Instance-Based Learning Algorithms
Machine Learning · 1991 · 4,094 citations
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Pattern Recognition · 1997 · 7,122 citations
Instance-based learning algorithms
Machine Learning · 1991 · 2,904 citations
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