[PDF.53hk] Optimizing Hospital-wide Patient Scheduling: Early Classification of Diagnosis-related Groups Through Machine Learning (Lecture Notes in Economics and Mathematical Systems)

Optimizing Hospital-wide Patient Scheduling: Early Classification of Diagnosis-related Groups Through Machine Learning (Lecture Notes in Economics and Mathematical Systems)

[PDF.tj32] Optimizing Hospital-wide Patient Scheduling: Early Classification of Diagnosis-related Groups Through Machine Learning (Lecture Notes in Economics and Mathematical Systems)

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 | #6894857 in Books |  Daniel G rtner |  2015-05-24 |  2015-05-28 | Original language:English | PDF # 1 |  9.25 x.31 x6.10l, | File type: PDF | 119 pages

 | Optimizing Hospital wide Patient Scheduling Early Classification of Diagnosis related Groups Through Machine Learning Lecture Notes in Economics and Mathematical Systems

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Diagnosis-related groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a patient to a DRG can be distinguished into billing- and operations-driven DRG classification. The topic of this monograph is operations-driven DRG classification, in which DRGs of inpatients are employed to improve contribution margin-based patient scheduling decisions. In the first part, attribute selection and classification techniques are evaluat...

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