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  • Early Classification of Diagnosis-related Groups Through Machine Learning
    Daniel Gartner
    978-3-319-04066-0
    2014
    Edition 1
    • Introduces and evaluates a thorough examination of attribute selection techniques and classification approaches for early diagnosis-related group (DRG) classification
    • Formulates two hospital-wide patient scheduling models using mathematical programming in order to maximize contribution margin
    • Presents methods for a substantial improvement of classification accuracy and contribution margin as compared to current practice
    • Includes supplementary material: sn.pub/extras

    €100

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