Digital future of healthcare
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| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
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| Ausgabe: | First edition |
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| 245 | 1 | 0 | |a Digital future of healthcare |c edited by Nilanjan Dey, Nabanita Das, Jyotismita Chaki |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2022 | |
| 300 | |a 1 Online-Ressource (xvi, 201 Seiten) | ||
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| 505 | 8 | |a Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Introduction to Digital Future of Healthcare -- 1.1 Introduction -- 1.2 Misconceptions of Digital Healthcare -- 1.2.1 Misconception 1: People Do Not Want to Adopt Automated Healthcare Services -- 1.2.2 Misconception 2: Mainly Young Adults Choose Digital Services -- 1.2.3 Misconception 3: Mobile Health or M-health Is a Game-changer -- 1.2.4 Misconception 4: Patients Are Searching for New Applications and Features -- 1.3 The State of Digital Change of Healthcare in 2021 | |
| 505 | 8 | |a 1.3.1 The Growth in On-Demand Healthcare (Why Patients Need Healthcare on Their Schedule) -- 1.3.2 The Significance of Big Data in the Health Industry -- 1.3.3 The Wonder and Care of Patients with Artificial Intelligence -- 1.3.4 Development of Wearable Healthcare Devices -- 1.3.5 Blockchain and the Future of Improved Electronic Medical Records -- 1.4 Advantages of Digital Healthcare -- 1.5 Challenges in Digital Healthcare -- 1.6 Summary -- References -- 2. A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps -- 2.1 Introduction | |
| 505 | 8 | |a 2.2 Research Highlights -- 2.3 Review on Skin Cancer -- 2.4 Methodology -- 2.4.1 Computation of Local Binary Pattern (LBP) -- 2.4.1.1 Importance of LBP -- 2.4.2 Derivation for LBP -- 2.4.3 Algorithm for LBP -- 2.5 Importance and Algorithm for Computation of Variance -- 2.6 Algorithm for DFT Computation -- 2.7 Detection of Skin Lesion Using Self-Organizing Maps (SOM) -- 2.8 Similarity Measures Used for Training the SOM -- 2.9 Performance Evaluation -- 2.10 Results and Discussion -- 2.11 Conclusion -- References -- 3. Innovative Wearable Device Technology for Biomedical Applications | |
| 505 | 8 | |a 3.1 Introduction -- 3.2 Wearable Devices in Vital Signs Monitoring -- 3.2.1 Heart Rate -- 3.2.2 Respiration Rate -- 3.2.3 Body Temperature -- 3.2.4 Blood Pressure -- 3.2.5 Blood Glucose -- 3.2.6 Blood Oxygen Saturation -- 3.2.7 Motion Evaluation -- 3.2.8 Other Biomedical Applications of Wearable Devices -- 3.3 Few examples of Innovative Wearable Healthcare Devices Currently Under Development -- 3.3.1 RespiroGear -- Respiratory Rate Controller -- 3.3.1.1 Background -- 3.3.1.2 Novelty -- 3.3.1.3 Core Technology -- 3.3.2 CardioMate -- Heart Rate and Activity Monitoring for Disease Diagnosis | |
| 505 | 8 | |a 3.3.2.1 Background -- 3.3.2.2 Novelty -- 3.3.2.3 Core Technology -- 3.4 Key Factors Influencing the Growth of Healthcare Device Sector, Particularly in the India Context -- 3.5 Challenges and Way Forward of Wearable Devices in Healthcare Technology -- References -- 4. Advancements in Digital Computation: Issues and Opportunities in Healthcare Services -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed Model -- 4.3.1 Overview of the Framework -- 4.3.2 Perception Layer -- 4.3.3 Communication Layer -- 4.3.4 Computing Model -- 4.3.4.1 Classification Model | |
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| 700 | 1 | |a Dey, Nilanjan |d 1984- |0 (DE-588)1104273500 |4 edt | |
| 700 | 1 | |a Das, Nabanita |4 edt | |
| 700 | 1 | |a Chaki, Jyotismita |0 (DE-588)1196644268 |4 edt | |
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Datensatz im Suchindex
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| author_GND | (DE-588)1104273500 (DE-588)1196644268 |
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| contents | Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Introduction to Digital Future of Healthcare -- 1.1 Introduction -- 1.2 Misconceptions of Digital Healthcare -- 1.2.1 Misconception 1: People Do Not Want to Adopt Automated Healthcare Services -- 1.2.2 Misconception 2: Mainly Young Adults Choose Digital Services -- 1.2.3 Misconception 3: Mobile Health or M-health Is a Game-changer -- 1.2.4 Misconception 4: Patients Are Searching for New Applications and Features -- 1.3 The State of Digital Change of Healthcare in 2021 1.3.1 The Growth in On-Demand Healthcare (Why Patients Need Healthcare on Their Schedule) -- 1.3.2 The Significance of Big Data in the Health Industry -- 1.3.3 The Wonder and Care of Patients with Artificial Intelligence -- 1.3.4 Development of Wearable Healthcare Devices -- 1.3.5 Blockchain and the Future of Improved Electronic Medical Records -- 1.4 Advantages of Digital Healthcare -- 1.5 Challenges in Digital Healthcare -- 1.6 Summary -- References -- 2. A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps -- 2.1 Introduction 2.2 Research Highlights -- 2.3 Review on Skin Cancer -- 2.4 Methodology -- 2.4.1 Computation of Local Binary Pattern (LBP) -- 2.4.1.1 Importance of LBP -- 2.4.2 Derivation for LBP -- 2.4.3 Algorithm for LBP -- 2.5 Importance and Algorithm for Computation of Variance -- 2.6 Algorithm for DFT Computation -- 2.7 Detection of Skin Lesion Using Self-Organizing Maps (SOM) -- 2.8 Similarity Measures Used for Training the SOM -- 2.9 Performance Evaluation -- 2.10 Results and Discussion -- 2.11 Conclusion -- References -- 3. Innovative Wearable Device Technology for Biomedical Applications 3.1 Introduction -- 3.2 Wearable Devices in Vital Signs Monitoring -- 3.2.1 Heart Rate -- 3.2.2 Respiration Rate -- 3.2.3 Body Temperature -- 3.2.4 Blood Pressure -- 3.2.5 Blood Glucose -- 3.2.6 Blood Oxygen Saturation -- 3.2.7 Motion Evaluation -- 3.2.8 Other Biomedical Applications of Wearable Devices -- 3.3 Few examples of Innovative Wearable Healthcare Devices Currently Under Development -- 3.3.1 RespiroGear -- Respiratory Rate Controller -- 3.3.1.1 Background -- 3.3.1.2 Novelty -- 3.3.1.3 Core Technology -- 3.3.2 CardioMate -- Heart Rate and Activity Monitoring for Disease Diagnosis 3.3.2.1 Background -- 3.3.2.2 Novelty -- 3.3.2.3 Core Technology -- 3.4 Key Factors Influencing the Growth of Healthcare Device Sector, Particularly in the India Context -- 3.5 Challenges and Way Forward of Wearable Devices in Healthcare Technology -- References -- 4. Advancements in Digital Computation: Issues and Opportunities in Healthcare Services -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed Model -- 4.3.1 Overview of the Framework -- 4.3.2 Perception Layer -- 4.3.3 Communication Layer -- 4.3.4 Computing Model -- 4.3.4.1 Classification Model |
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| id | DE-604.BV047644535 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:48:26Z |
| indexdate | 2024-07-10T09:18:08Z |
| institution | BVB |
| isbn | 9781000485400 |
| language | English |
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| spelling | Digital future of healthcare edited by Nilanjan Dey, Nabanita Das, Jyotismita Chaki First edition Boca Raton ; London ; New York CRC Press 2022 1 Online-Ressource (xvi, 201 Seiten) txt rdacontent c rdamedia cr rdacarrier Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Introduction to Digital Future of Healthcare -- 1.1 Introduction -- 1.2 Misconceptions of Digital Healthcare -- 1.2.1 Misconception 1: People Do Not Want to Adopt Automated Healthcare Services -- 1.2.2 Misconception 2: Mainly Young Adults Choose Digital Services -- 1.2.3 Misconception 3: Mobile Health or M-health Is a Game-changer -- 1.2.4 Misconception 4: Patients Are Searching for New Applications and Features -- 1.3 The State of Digital Change of Healthcare in 2021 1.3.1 The Growth in On-Demand Healthcare (Why Patients Need Healthcare on Their Schedule) -- 1.3.2 The Significance of Big Data in the Health Industry -- 1.3.3 The Wonder and Care of Patients with Artificial Intelligence -- 1.3.4 Development of Wearable Healthcare Devices -- 1.3.5 Blockchain and the Future of Improved Electronic Medical Records -- 1.4 Advantages of Digital Healthcare -- 1.5 Challenges in Digital Healthcare -- 1.6 Summary -- References -- 2. A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps -- 2.1 Introduction 2.2 Research Highlights -- 2.3 Review on Skin Cancer -- 2.4 Methodology -- 2.4.1 Computation of Local Binary Pattern (LBP) -- 2.4.1.1 Importance of LBP -- 2.4.2 Derivation for LBP -- 2.4.3 Algorithm for LBP -- 2.5 Importance and Algorithm for Computation of Variance -- 2.6 Algorithm for DFT Computation -- 2.7 Detection of Skin Lesion Using Self-Organizing Maps (SOM) -- 2.8 Similarity Measures Used for Training the SOM -- 2.9 Performance Evaluation -- 2.10 Results and Discussion -- 2.11 Conclusion -- References -- 3. Innovative Wearable Device Technology for Biomedical Applications 3.1 Introduction -- 3.2 Wearable Devices in Vital Signs Monitoring -- 3.2.1 Heart Rate -- 3.2.2 Respiration Rate -- 3.2.3 Body Temperature -- 3.2.4 Blood Pressure -- 3.2.5 Blood Glucose -- 3.2.6 Blood Oxygen Saturation -- 3.2.7 Motion Evaluation -- 3.2.8 Other Biomedical Applications of Wearable Devices -- 3.3 Few examples of Innovative Wearable Healthcare Devices Currently Under Development -- 3.3.1 RespiroGear -- Respiratory Rate Controller -- 3.3.1.1 Background -- 3.3.1.2 Novelty -- 3.3.1.3 Core Technology -- 3.3.2 CardioMate -- Heart Rate and Activity Monitoring for Disease Diagnosis 3.3.2.1 Background -- 3.3.2.2 Novelty -- 3.3.2.3 Core Technology -- 3.4 Key Factors Influencing the Growth of Healthcare Device Sector, Particularly in the India Context -- 3.5 Challenges and Way Forward of Wearable Devices in Healthcare Technology -- References -- 4. Advancements in Digital Computation: Issues and Opportunities in Healthcare Services -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed Model -- 4.3.1 Overview of the Framework -- 4.3.2 Perception Layer -- 4.3.3 Communication Layer -- 4.3.4 Computing Model -- 4.3.4.1 Classification Model (DE-588)4522595-3 Fallstudiensammlung gnd-content Dey, Nilanjan 1984- (DE-588)1104273500 edt Das, Nabanita edt Chaki, Jyotismita (DE-588)1196644268 edt Erscheint auch als Online-Ausgabe 978-1-003-19879-6 Erscheint auch als Druck-Ausgabe, hbk 978-1-032-05701-9 Erscheint auch als Druck-Ausgabe, pbk 978-1-032-05704-0 |
| spellingShingle | Digital future of healthcare Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Introduction to Digital Future of Healthcare -- 1.1 Introduction -- 1.2 Misconceptions of Digital Healthcare -- 1.2.1 Misconception 1: People Do Not Want to Adopt Automated Healthcare Services -- 1.2.2 Misconception 2: Mainly Young Adults Choose Digital Services -- 1.2.3 Misconception 3: Mobile Health or M-health Is a Game-changer -- 1.2.4 Misconception 4: Patients Are Searching for New Applications and Features -- 1.3 The State of Digital Change of Healthcare in 2021 1.3.1 The Growth in On-Demand Healthcare (Why Patients Need Healthcare on Their Schedule) -- 1.3.2 The Significance of Big Data in the Health Industry -- 1.3.3 The Wonder and Care of Patients with Artificial Intelligence -- 1.3.4 Development of Wearable Healthcare Devices -- 1.3.5 Blockchain and the Future of Improved Electronic Medical Records -- 1.4 Advantages of Digital Healthcare -- 1.5 Challenges in Digital Healthcare -- 1.6 Summary -- References -- 2. A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps -- 2.1 Introduction 2.2 Research Highlights -- 2.3 Review on Skin Cancer -- 2.4 Methodology -- 2.4.1 Computation of Local Binary Pattern (LBP) -- 2.4.1.1 Importance of LBP -- 2.4.2 Derivation for LBP -- 2.4.3 Algorithm for LBP -- 2.5 Importance and Algorithm for Computation of Variance -- 2.6 Algorithm for DFT Computation -- 2.7 Detection of Skin Lesion Using Self-Organizing Maps (SOM) -- 2.8 Similarity Measures Used for Training the SOM -- 2.9 Performance Evaluation -- 2.10 Results and Discussion -- 2.11 Conclusion -- References -- 3. Innovative Wearable Device Technology for Biomedical Applications 3.1 Introduction -- 3.2 Wearable Devices in Vital Signs Monitoring -- 3.2.1 Heart Rate -- 3.2.2 Respiration Rate -- 3.2.3 Body Temperature -- 3.2.4 Blood Pressure -- 3.2.5 Blood Glucose -- 3.2.6 Blood Oxygen Saturation -- 3.2.7 Motion Evaluation -- 3.2.8 Other Biomedical Applications of Wearable Devices -- 3.3 Few examples of Innovative Wearable Healthcare Devices Currently Under Development -- 3.3.1 RespiroGear -- Respiratory Rate Controller -- 3.3.1.1 Background -- 3.3.1.2 Novelty -- 3.3.1.3 Core Technology -- 3.3.2 CardioMate -- Heart Rate and Activity Monitoring for Disease Diagnosis 3.3.2.1 Background -- 3.3.2.2 Novelty -- 3.3.2.3 Core Technology -- 3.4 Key Factors Influencing the Growth of Healthcare Device Sector, Particularly in the India Context -- 3.5 Challenges and Way Forward of Wearable Devices in Healthcare Technology -- References -- 4. Advancements in Digital Computation: Issues and Opportunities in Healthcare Services -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed Model -- 4.3.1 Overview of the Framework -- 4.3.2 Perception Layer -- 4.3.3 Communication Layer -- 4.3.4 Computing Model -- 4.3.4.1 Classification Model |
| subject_GND | (DE-588)4522595-3 |
| title | Digital future of healthcare |
| title_auth | Digital future of healthcare |
| title_exact_search | Digital future of healthcare |
| title_exact_search_txtP | Digital future of healthcare |
| title_full | Digital future of healthcare edited by Nilanjan Dey, Nabanita Das, Jyotismita Chaki |
| title_fullStr | Digital future of healthcare edited by Nilanjan Dey, Nabanita Das, Jyotismita Chaki |
| title_full_unstemmed | Digital future of healthcare edited by Nilanjan Dey, Nabanita Das, Jyotismita Chaki |
| title_short | Digital future of healthcare |
| title_sort | digital future of healthcare |
| topic_facet | Fallstudiensammlung |
| work_keys_str_mv | AT deynilanjan digitalfutureofhealthcare AT dasnabanita digitalfutureofhealthcare AT chakijyotismita digitalfutureofhealthcare |