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Healthcare and big data management / Bairong Shen, editor.

Contributor(s): Shen, Bairong, editor literario
Material type: materialTypeLabelE-bookSeries: (Advances in experimental medicine and biology; v. 1028).Publisher: Singapore : Springer International Publishing, 2017Description: 1 recurso en línea.ISBN: 9789811060410; 981106041X.Subject: Centros de saludOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
""Contents""; ""Chapter 1: How to Become a Smart Patient in the Era of Precision Medicine?""; ""1.1 Introduction""; ""1.2 Research Methods""; ""1.2.1 Theory Derivation Processes: A Thorough Literature Review""; ""1.2.2 DIKW: Data, Information, Knowledge, and Wisdom Framework""; ""1.3 Results""; ""1.3.1 What Is a Smart Patient in the Current Medical Era?""; ""1.3.2 How to Become a Smart Patient?""; ""1.3.2.1 The Theoretical Framework: DIKW Framework""; ""1.3.2.2 Data Evolution and Application: From Patient Perspective""
""1.3.2.3 Participatory Approaches of Smart Patients in Medical Procedure""""Self-Assistant Smart Diagnose, Treatment, and Disease Management""; ""Shared Decision-Making with Health Providers""; ""Participate in Medical Researches Through Social Networks""; ""From Data to Action: Patient Education Is the Key and Decisive Factor""; ""1.4 Discussion and Conclusion""; ""1.4.1 The Importance of Smart Patients in the Healthcare System""; ""1.4.2 Opportunities and Challenges""; ""1.4.3 Conclusion""; ""1.4.4 Practice Implications""; ""References""
""2.2.2 The Longitudinal Self-Measurements by Wearable Sensors and the Smartphone-Based Cloud Computing for Data Storage, Extrac ... """"2.3 Data Mining of the Physiological Data and the Challenges""; ""2.3.1 Data Standardization and the Privacy of Personal Physiological Information""; ""2.3.2 Databases and Methods for the Mining of Physiological Signals""; ""2.3.3 ECG Data Analysis as a Case Study""; ""2.4 Perspectives on the Integrative Analyses of the Physiological Data""; ""2.4.1 Systems Thinking and the Integrative Analysis of the Physiological Data""
""2.4.2 The Paradigm for the Participatory Medicine""""2.4.3 Healthcare Intervention with Evolutionary Thinking and Non-drug Therapy""; ""References""; ""Chapter 3: Entropy for the Complexity of Physiological Signal Dynamics""; ""3.1 Introduction""; ""3.2 Shannon Entropy""; ""3.3 Conditional Entropy""; ""3.4 Renyi Entropy""; ""3.5 Kolmogorov Entropy""; ""3.6 Approximate Entropy""; ""3.7 Sample Entropy""; ""3.8 Multiscale Entropy Analysis""; ""3.9 Demonstration of an Example""; ""3.10 Discussion and Conclusion""; ""References""
""Chapter 2: Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare""""2.1 Introduction""; ""2.1.1 From Disease Care to Healthcare: The Coming of Age""; ""2.1.2 Physiological Signals as Phenotyping Data""; ""2.1.3 The Challenge for the Mining of Physiological Data from Wearable Sensors""; ""2.2 The Collection of the Big Physiological Data from the Wearable Sensors""; ""2.2.1 The Traditional Methods for Physiological Data Collection and Analyses""
Abstract: The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota - data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud R858 .S44 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20024240
Total holds: 0

Incluye referencias bibliográficas e índice

""Contents""; ""Chapter 1: How to Become a Smart Patient in the Era of Precision Medicine?""; ""1.1 Introduction""; ""1.2 Research Methods""; ""1.2.1 Theory Derivation Processes: A Thorough Literature Review""; ""1.2.2 DIKW: Data, Information, Knowledge, and Wisdom Framework""; ""1.3 Results""; ""1.3.1 What Is a Smart Patient in the Current Medical Era?""; ""1.3.2 How to Become a Smart Patient?""; ""1.3.2.1 The Theoretical Framework: DIKW Framework""; ""1.3.2.2 Data Evolution and Application: From Patient Perspective""

""1.3.2.3 Participatory Approaches of Smart Patients in Medical Procedure""""Self-Assistant Smart Diagnose, Treatment, and Disease Management""; ""Shared Decision-Making with Health Providers""; ""Participate in Medical Researches Through Social Networks""; ""From Data to Action: Patient Education Is the Key and Decisive Factor""; ""1.4 Discussion and Conclusion""; ""1.4.1 The Importance of Smart Patients in the Healthcare System""; ""1.4.2 Opportunities and Challenges""; ""1.4.3 Conclusion""; ""1.4.4 Practice Implications""; ""References""

""2.2.2 The Longitudinal Self-Measurements by Wearable Sensors and the Smartphone-Based Cloud Computing for Data Storage, Extrac ... """"2.3 Data Mining of the Physiological Data and the Challenges""; ""2.3.1 Data Standardization and the Privacy of Personal Physiological Information""; ""2.3.2 Databases and Methods for the Mining of Physiological Signals""; ""2.3.3 ECG Data Analysis as a Case Study""; ""2.4 Perspectives on the Integrative Analyses of the Physiological Data""; ""2.4.1 Systems Thinking and the Integrative Analysis of the Physiological Data""

""2.4.2 The Paradigm for the Participatory Medicine""""2.4.3 Healthcare Intervention with Evolutionary Thinking and Non-drug Therapy""; ""References""; ""Chapter 3: Entropy for the Complexity of Physiological Signal Dynamics""; ""3.1 Introduction""; ""3.2 Shannon Entropy""; ""3.3 Conditional Entropy""; ""3.4 Renyi Entropy""; ""3.5 Kolmogorov Entropy""; ""3.6 Approximate Entropy""; ""3.7 Sample Entropy""; ""3.8 Multiscale Entropy Analysis""; ""3.9 Demonstration of an Example""; ""3.10 Discussion and Conclusion""; ""References""

""Chapter 2: Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare""""2.1 Introduction""; ""2.1.1 From Disease Care to Healthcare: The Coming of Age""; ""2.1.2 Physiological Signals as Phenotyping Data""; ""2.1.3 The Challenge for the Mining of Physiological Data from Wearable Sensors""; ""2.2 The Collection of the Big Physiological Data from the Wearable Sensors""; ""2.2.1 The Traditional Methods for Physiological Data Collection and Analyses""

The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota - data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.

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