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Operations Research Applications in Health Care Management

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Cover of 'Operations Research Applications in Health Care Management'

Table of Contents

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    Book Overview
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    Chapter 1 A Taxonomy of Operations Research Studies in Healthcare Management
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    Chapter 2 A Comprehensive Survey on Healthcare Management
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    Chapter 3 The Real Time Management of Operating Rooms
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    Chapter 4 Mixed Fuzzy Clustering for Deriving Predictive Models in Intensive Care Units
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    Chapter 5 Operations Research for Occupancy Modeling at Hospital Wards and Its Integration into Practice
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    Chapter 6 Evaluating Healthcare System Efficiency of OECD Countries: A DEA-Based Study
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    Chapter 7 Healthcare Expenditure Prediction in Turkey by Using Genetic Algorithm Based Grey Forecasting Models
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    Chapter 8 The Impact of Social Networks in Developing and Managing Chronic Care Models
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    Chapter 9 Design and Planning of Organ Transplantation Networks
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    Chapter 10 Blood Supply Chain Management and Future Research Opportunities
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    Chapter 11 Vaccine Supply Management
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    Chapter 12 OR Applications in Disease Screening
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    Chapter 13 Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm
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    Chapter 14 Efficiency of Diabetes Treatment
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    Chapter 15 A Multiobjective Solution Method for Radiation Treatment Planning
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    Chapter 16 OR Models for Emergency Medical Service (EMS) Management
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    Chapter 17 Health Informatics
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    Chapter 18 OR Applications in Pharmaceutical Supply Chain Management
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    Chapter 19 A Categorical DEA Framework for Evaluating Medical Tourism Efficiency of “Top Destinations”
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    Chapter 20 Healthcare Human Resource Planning
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    Chapter 21 Lean Healthcare
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    Chapter 22 Procurement Management in Healthcare Systems
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Citations

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22 Dimensions

Readers on

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22 Mendeley
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Title
Operations Research Applications in Health Care Management
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-65455-3
ISBNs
978-3-31-965453-9, 978-3-31-965455-3
Editors

Cengiz Kahraman, Y. Ilker Topcu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Doctoral Student 3 14%
Lecturer 2 9%
Student > Master 2 9%
Lecturer > Senior Lecturer 1 5%
Other 5 23%
Unknown 4 18%
Readers by discipline Count As %
Engineering 5 23%
Agricultural and Biological Sciences 2 9%
Computer Science 2 9%
Social Sciences 2 9%
Nursing and Health Professions 1 5%
Other 4 18%
Unknown 6 27%