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Mobile health: advances in research and applications

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Bibliographic Details
Other Authors:	Gupta, Gaurav (Editor), Kumar, Nagesh (Editor), Singh, Yashwant (Editor), Jaiswal, Varun (Editor)
Format:	Electronic eBook
Language:	English
Published:	New York Nova Science Publishers, Inc. [2021]
Series:	Healthcare in transition
Links:	https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6527133
Physical Description:	1 Online-Ressource (ix, 330 Seiten)
ISBN:	9781536194685

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245	1	0	\|a Mobile health \|b advances in research and applications \|c Gaurav Gupta, Nagesh Kumar, Yashwant Singh and Varun Jaiswal, editors
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505	8		\|a Intro -- Contents -- Preface -- Chapter 1 -- Role of IoT in Healthcare: An Overview -- Abstract -- 1. Introduction -- 1.1. What Is the Internet of Things (IoT)? -- 1.2. Aim of IoT in Healthcare -- 2. Literature Survey -- 3. Applications of IoT in Healthcare Field -- 4. Security Concerns -- 4.1. Challenges -- Conclusion -- References -- Chapter 2 -- Wearable Devices: Pros and Cons -- Abstract -- Introduction -- Literature Survey -- Wearable Devices with Their Pros and Cons -- AVA Bracelet -- AliveCor -- TEMPTRAQ -- Smart Sleep Wearable -- Bio Patch MC100 -- Conclusion -- References
505	8		\|a Chapter 3 -- Decision Support Algorithms for Data Analysis -- Abstract -- 1. Introduction -- 1.1. Brief History of Decision Support System -- 1.2. Characteristics of Decision Support System Network (DSS) (Campion Jr, Waitman et al. 2010 -- Tripathi 2011) -- 1.3. Elements of Decision Support System -- 2. User Involved in Developing a Décision Support System -- 3. Components Involved in the Développent of a Décision Support System -- 3.1. Categorization/Classification of DSS -- 4. Limitation and Disadvantages of Décision Support System -- 4.1. Limitations of Decision Support Systems (DSS)
505	8		\|a 4.2. Disadvantages of Decision Support Systems -- 5. Analyzing A Business Décision Making Process -- 5.1. Types of Managerial Decisions -- 6. Développent of a Décision Support System -- 6.1. Role of Decision Support System in the Management Information System (MIS) -- 6.2. Designing, Building, and Implementation of an Ideal Decision Support System -- 6.3. Gaining Competitive Advantage with Decision Support Systems -- 6.4. Technology Trends in DSS -- 6.5. Designing and Developing Decision Support Systems -- 6.6. Choosing a System Development Approach
505	8		\|a 6.7. User Interface (UI) platform for Designing a Decision Support System (DSS) an Approach -- 6.7.1. User Interface Styles -- 6.7.2. Elements Influencing User Interface Design Success -- 6.8. Networking and Security Related Issues in DSS Architecture -- 6.8.1. How Are the DSS Based Architecture, Network, and Security Is Interdependent? -- 7. Décision Support System Models -- 7.1. Building a Model-Driven based DSS (MDSS) -- 7.2. Model Types -- 7.3. The Following Are Different Sorts of Decision Analysis Processes in DSS Models -- 7.4. Data Mining and Creating Knowledge
505	8		\|a 7.4.1. Data Mining Tools and Techniques -- 7.5. Development of Inter-Organizational Decision Support Systems and web-based interconnected W-DSS -- 7.5.1. Designing and Developing Web-Based DSS -- 7.6. Managing Web-Based and Inter-Organizational Decision Support System -- 8. Machine Learning/Deep Learning-Based Approach, Algorithm and Case Studies for a Décision Support System -- 8.1. Case Studies Involved Which Uses the Machine Learning and Deep Learning -- 8.1.1. Case Study 1. DSS and ML Method for the Big Data Mining
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700	1		\|a Jaiswal, Varun \|4 edt
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Record in the Search Index

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contents	Intro -- Contents -- Preface -- Chapter 1 -- Role of IoT in Healthcare: An Overview -- Abstract -- 1. Introduction -- 1.1. What Is the Internet of Things (IoT)? -- 1.2. Aim of IoT in Healthcare -- 2. Literature Survey -- 3. Applications of IoT in Healthcare Field -- 4. Security Concerns -- 4.1. Challenges -- Conclusion -- References -- Chapter 2 -- Wearable Devices: Pros and Cons -- Abstract -- Introduction -- Literature Survey -- Wearable Devices with Their Pros and Cons -- AVA Bracelet -- AliveCor -- TEMPTRAQ -- Smart Sleep Wearable -- Bio Patch MC100 -- Conclusion -- References Chapter 3 -- Decision Support Algorithms for Data Analysis -- Abstract -- 1. Introduction -- 1.1. Brief History of Decision Support System -- 1.2. Characteristics of Decision Support System Network (DSS) (Campion Jr, Waitman et al. 2010 -- Tripathi 2011) -- 1.3. Elements of Decision Support System -- 2. User Involved in Developing a Décision Support System -- 3. Components Involved in the Développent of a Décision Support System -- 3.1. Categorization/Classification of DSS -- 4. Limitation and Disadvantages of Décision Support System -- 4.1. Limitations of Decision Support Systems (DSS) 4.2. Disadvantages of Decision Support Systems -- 5. Analyzing A Business Décision Making Process -- 5.1. Types of Managerial Decisions -- 6. Développent of a Décision Support System -- 6.1. Role of Decision Support System in the Management Information System (MIS) -- 6.2. Designing, Building, and Implementation of an Ideal Decision Support System -- 6.3. Gaining Competitive Advantage with Decision Support Systems -- 6.4. Technology Trends in DSS -- 6.5. Designing and Developing Decision Support Systems -- 6.6. Choosing a System Development Approach 6.7. User Interface (UI) platform for Designing a Decision Support System (DSS) an Approach -- 6.7.1. User Interface Styles -- 6.7.2. Elements Influencing User Interface Design Success -- 6.8. Networking and Security Related Issues in DSS Architecture -- 6.8.1. How Are the DSS Based Architecture, Network, and Security Is Interdependent? -- 7. Décision Support System Models -- 7.1. Building a Model-Driven based DSS (MDSS) -- 7.2. Model Types -- 7.3. The Following Are Different Sorts of Decision Analysis Processes in DSS Models -- 7.4. Data Mining and Creating Knowledge 7.4.1. Data Mining Tools and Techniques -- 7.5. Development of Inter-Organizational Decision Support Systems and web-based interconnected W-DSS -- 7.5.1. Designing and Developing Web-Based DSS -- 7.6. Managing Web-Based and Inter-Organizational Decision Support System -- 8. Machine Learning/Deep Learning-Based Approach, Algorithm and Case Studies for a Décision Support System -- 8.1. Case Studies Involved Which Uses the Machine Learning and Deep Learning -- 8.1.1. Case Study 1. DSS and ML Method for the Big Data Mining
ctrlnum	(OCoLC)1269389287 (DE-599)BVBBV047470156
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spelling	Mobile health advances in research and applications Gaurav Gupta, Nagesh Kumar, Yashwant Singh and Varun Jaiswal, editors New York Nova Science Publishers, Inc. [2021] 1 Online-Ressource (ix, 330 Seiten) txt rdacontent c rdamedia cr rdacarrier Healthcare in transition Intro -- Contents -- Preface -- Chapter 1 -- Role of IoT in Healthcare: An Overview -- Abstract -- 1. Introduction -- 1.1. What Is the Internet of Things (IoT)? -- 1.2. Aim of IoT in Healthcare -- 2. Literature Survey -- 3. Applications of IoT in Healthcare Field -- 4. Security Concerns -- 4.1. Challenges -- Conclusion -- References -- Chapter 2 -- Wearable Devices: Pros and Cons -- Abstract -- Introduction -- Literature Survey -- Wearable Devices with Their Pros and Cons -- AVA Bracelet -- AliveCor -- TEMPTRAQ -- Smart Sleep Wearable -- Bio Patch MC100 -- Conclusion -- References Chapter 3 -- Decision Support Algorithms for Data Analysis -- Abstract -- 1. Introduction -- 1.1. Brief History of Decision Support System -- 1.2. Characteristics of Decision Support System Network (DSS) (Campion Jr, Waitman et al. 2010 -- Tripathi 2011) -- 1.3. Elements of Decision Support System -- 2. User Involved in Developing a Décision Support System -- 3. Components Involved in the Développent of a Décision Support System -- 3.1. Categorization/Classification of DSS -- 4. Limitation and Disadvantages of Décision Support System -- 4.1. Limitations of Decision Support Systems (DSS) 4.2. Disadvantages of Decision Support Systems -- 5. Analyzing A Business Décision Making Process -- 5.1. Types of Managerial Decisions -- 6. Développent of a Décision Support System -- 6.1. Role of Decision Support System in the Management Information System (MIS) -- 6.2. Designing, Building, and Implementation of an Ideal Decision Support System -- 6.3. Gaining Competitive Advantage with Decision Support Systems -- 6.4. Technology Trends in DSS -- 6.5. Designing and Developing Decision Support Systems -- 6.6. Choosing a System Development Approach 6.7. User Interface (UI) platform for Designing a Decision Support System (DSS) an Approach -- 6.7.1. User Interface Styles -- 6.7.2. Elements Influencing User Interface Design Success -- 6.8. Networking and Security Related Issues in DSS Architecture -- 6.8.1. How Are the DSS Based Architecture, Network, and Security Is Interdependent? -- 7. Décision Support System Models -- 7.1. Building a Model-Driven based DSS (MDSS) -- 7.2. Model Types -- 7.3. The Following Are Different Sorts of Decision Analysis Processes in DSS Models -- 7.4. Data Mining and Creating Knowledge 7.4.1. Data Mining Tools and Techniques -- 7.5. Development of Inter-Organizational Decision Support Systems and web-based interconnected W-DSS -- 7.5.1. Designing and Developing Web-Based DSS -- 7.6. Managing Web-Based and Inter-Organizational Decision Support System -- 8. Machine Learning/Deep Learning-Based Approach, Algorithm and Case Studies for a Décision Support System -- 8.1. Case Studies Involved Which Uses the Machine Learning and Deep Learning -- 8.1.1. Case Study 1. DSS and ML Method for the Big Data Mining Gupta, Gaurav edt Kumar, Nagesh edt Singh, Yashwant edt Jaiswal, Varun edt Erscheint auch als Druck-Ausgabe 978-1-53619-420-3
spellingShingle	Mobile health advances in research and applications Intro -- Contents -- Preface -- Chapter 1 -- Role of IoT in Healthcare: An Overview -- Abstract -- 1. Introduction -- 1.1. What Is the Internet of Things (IoT)? -- 1.2. Aim of IoT in Healthcare -- 2. Literature Survey -- 3. Applications of IoT in Healthcare Field -- 4. Security Concerns -- 4.1. Challenges -- Conclusion -- References -- Chapter 2 -- Wearable Devices: Pros and Cons -- Abstract -- Introduction -- Literature Survey -- Wearable Devices with Their Pros and Cons -- AVA Bracelet -- AliveCor -- TEMPTRAQ -- Smart Sleep Wearable -- Bio Patch MC100 -- Conclusion -- References Chapter 3 -- Decision Support Algorithms for Data Analysis -- Abstract -- 1. Introduction -- 1.1. Brief History of Decision Support System -- 1.2. Characteristics of Decision Support System Network (DSS) (Campion Jr, Waitman et al. 2010 -- Tripathi 2011) -- 1.3. Elements of Decision Support System -- 2. User Involved in Developing a Décision Support System -- 3. Components Involved in the Développent of a Décision Support System -- 3.1. Categorization/Classification of DSS -- 4. Limitation and Disadvantages of Décision Support System -- 4.1. Limitations of Decision Support Systems (DSS) 4.2. Disadvantages of Decision Support Systems -- 5. Analyzing A Business Décision Making Process -- 5.1. Types of Managerial Decisions -- 6. Développent of a Décision Support System -- 6.1. Role of Decision Support System in the Management Information System (MIS) -- 6.2. Designing, Building, and Implementation of an Ideal Decision Support System -- 6.3. Gaining Competitive Advantage with Decision Support Systems -- 6.4. Technology Trends in DSS -- 6.5. Designing and Developing Decision Support Systems -- 6.6. Choosing a System Development Approach 6.7. User Interface (UI) platform for Designing a Decision Support System (DSS) an Approach -- 6.7.1. User Interface Styles -- 6.7.2. Elements Influencing User Interface Design Success -- 6.8. Networking and Security Related Issues in DSS Architecture -- 6.8.1. How Are the DSS Based Architecture, Network, and Security Is Interdependent? -- 7. Décision Support System Models -- 7.1. Building a Model-Driven based DSS (MDSS) -- 7.2. Model Types -- 7.3. The Following Are Different Sorts of Decision Analysis Processes in DSS Models -- 7.4. Data Mining and Creating Knowledge 7.4.1. Data Mining Tools and Techniques -- 7.5. Development of Inter-Organizational Decision Support Systems and web-based interconnected W-DSS -- 7.5.1. Designing and Developing Web-Based DSS -- 7.6. Managing Web-Based and Inter-Organizational Decision Support System -- 8. Machine Learning/Deep Learning-Based Approach, Algorithm and Case Studies for a Décision Support System -- 8.1. Case Studies Involved Which Uses the Machine Learning and Deep Learning -- 8.1.1. Case Study 1. DSS and ML Method for the Big Data Mining
title	Mobile health advances in research and applications
title_auth	Mobile health advances in research and applications
title_exact_search	Mobile health advances in research and applications
title_full	Mobile health advances in research and applications Gaurav Gupta, Nagesh Kumar, Yashwant Singh and Varun Jaiswal, editors
title_fullStr	Mobile health advances in research and applications Gaurav Gupta, Nagesh Kumar, Yashwant Singh and Varun Jaiswal, editors
title_full_unstemmed	Mobile health advances in research and applications Gaurav Gupta, Nagesh Kumar, Yashwant Singh and Varun Jaiswal, editors
title_short	Mobile health
title_sort	mobile health advances in research and applications
title_sub	advances in research and applications
work_keys_str_mv	AT guptagaurav mobilehealthadvancesinresearchandapplications AT kumarnagesh mobilehealthadvancesinresearchandapplications AT singhyashwant mobilehealthadvancesinresearchandapplications AT jaiswalvarun mobilehealthadvancesinresearchandapplications

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