Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

Pattaramon Vuttipittayamongkol; Eyad Elyan

doi:10.1007/978-3-030-49186-4_30

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Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

Pattaramon Vuttipittayamongkol Eyad Elyan

Year: 2020 IFIP advances in information and communication technology Pages: 358-369 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-49186-4_30

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Keywords:

Undersampling Machine learning Artificial intelligence Class (philosophy) Medical diagnosis Computer science One-class classification Visibility Domain (mathematical analysis) Sensitivity (control systems) Support vector machine Data mining Pattern recognition (psychology) Mathematics Medicine Geography Engineering

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

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