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050 4 _aR858
_b2017 EB
245 0 0 _aHealthcare and big data management
_cBairong Shen, editor.
264 1 _aSingapore
_bSpringer International Publishing
_c2017
300 _a1 recurso en línea
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
490 0 _aAdvances in experimental medicine and biology
_vv. 1028
500 _a
504 _aIncluye referencias bibliográficas e índice
505 0 _a""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""
505 8 _a""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""
505 8 _a""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""
505 8 _a""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""
505 8 _a""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""
520 3 _aThe 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.
588 0 _aVendor-supplied metadata.
988 _aEBOOK, EBSPRINGER_2017
650 7 _2embne
_aCentros de salud
_9155517
700 1 _aShen, Bairong
_eeditor literario
_986302
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-6041-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2018
_dz
_e-
_zSI