Machine learning for healthcare: handling and managing data
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Edition: | First edition |
| Online Access: | FHD01 TUM01 |
| Physical Description: | 1 Online-Ressource (xviii, 204 Seiten) Illustrationen |
| ISBN: | 9781000221787 1000221784 9780429330131 |
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| 245 | 1 | 0 | |a Machine learning for healthcare |b handling and managing data |c edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2021 | |
| 300 | |a 1 Online-Ressource (xviii, 204 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
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| 505 | 8 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- List of Contributors -- Chapter 1 Fundamentals of Machine Learning -- 1.1 Introduction -- 1.2 Data in Machine Learning -- 1.3 The Relationship between Data Mining, Machine Learning, and Artificial Intelligence -- 1.4 Applications of Machine Learning -- 1.4.1 Machine Learning: The Expected -- 1.4.2 Machine Learning: The Unexpected -- 1.5 Types of Machine Learning -- 1.5.1 Supervised Learning -- 1.5.1.1 Supervised Learning Use Cases -- 1.5.2 Unsupervised Learning | |
| 505 | 8 | |a 1.5.2.1 Types of Unsupervised Learning -- 1.5.2.2 Clustering -- 1.5.2.3 Association Rule -- 1.5.2.4 Unsupervised Learning Use Case -- 1.5.3 Reinforcement Learning (RL) -- 1.6 Conclusion -- References -- Chapter 2 Medical Information Systems -- 2.1 Introduction -- 2.2 Types of Medical Information Systems -- 2.2.1 General Medical Information Systems -- 2.2.2 Specific Medical Information Systems -- 2.3 Types of General Medical Data -- 2.3.1 Numerical Data -- 2.3.2 Textual Data -- 2.3.3 Categorical Data -- 2.3.4 Imaging Data -- 2.4 History of Medical Information Systems | |
| 505 | 8 | |a 2.5 Collection of MIS Data through Various Platforms -- 2.5.1 Traditional -- 2.5.2 Electronic -- 2.6 Diagnosis and Treatment of Disease through MIS Data -- 2.7 Conclusion -- References -- Chapter 3 The Role of Metaheuristic Algorithms in Healthcare -- 3.1 Introduction -- 3.2 Machine Learning in Healthcare -- 3.3 Health Information System Framework -- 3.4 Privacy and Security of Data -- 3.5 Big Data Analytics in Disease Diagnosis -- 3.6 The Metaheuristic Algorithm for Healthcare -- 3.7 Conclusion -- References -- Chapter 4 Decision Support System to Improve Patient Care -- 4.1 Introduction | |
| 505 | 8 | |a 4.2 Related Work -- 4.3 Feature Selection -- 4.3.1 Entropy Formula -- 4.4 Experimental Setup -- 4.5 Conclusion -- References -- Chapter 5 Effects of Cell Phone Usage on Human Health and Specifically on the Brain -- 5.1 Introduction -- 5.2 Background -- 5.3 Radiation Produced by a Mobile Phone -- 5.4 MATLAB Tools -- 5.4.1 Problem Statement -- 5.4.2 Research Objective -- 5.5 State-of-the-Art Research and Technology -- 5.6 Discussion of Tools -- 5.7 Methodology -- 5.7.1 Quantitative Approach -- 5.7.2 Design Research -- 5.8 Method of Data Collection -- 5.8.1 Sampling Technique -- 5.8.2 Sample Size | |
| 505 | 8 | |a 5.8.3 Instrument for Data Collection -- 5.8.4 Research Model -- 5.9 K-Means Clustering -- 5.10 Result and Discussion -- 5.11 Conclusion -- References -- Chapter 6 Feature Extraction and Bio Signals -- 6.1 Introduction -- 6.2 Feature Extraction -- 6.2.1 Common Spatial Patterns -- 6.2.2 Adaptive Common Spatial Patterns -- 6.2.3 Adaptive CSP Patches -- 6.2.4 Canonical Correlation Analysis -- 6.2.5 Band Power Features -- 6.2.6 Adaptive Band Power Features -- 6.2.7 Time Point Features -- 6.2.8 Time Points with Adaptive XDAWN -- 6.3 Feature Selection and its Approaches -- 6.3.1 Filter Approach | |
| 700 | 1 | |a Agrawal, Rashmi |4 edt | |
| 700 | 1 | |a Chatterjee, Jyotir Moy |0 (DE-588)1176054384 |4 edt | |
| 700 | 1 | |a Kumar, Abhishek |4 edt | |
| 700 | 1 | |a Rathore, Pramod Singh |4 edt | |
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| contents | Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- List of Contributors -- Chapter 1 Fundamentals of Machine Learning -- 1.1 Introduction -- 1.2 Data in Machine Learning -- 1.3 The Relationship between Data Mining, Machine Learning, and Artificial Intelligence -- 1.4 Applications of Machine Learning -- 1.4.1 Machine Learning: The Expected -- 1.4.2 Machine Learning: The Unexpected -- 1.5 Types of Machine Learning -- 1.5.1 Supervised Learning -- 1.5.1.1 Supervised Learning Use Cases -- 1.5.2 Unsupervised Learning 1.5.2.1 Types of Unsupervised Learning -- 1.5.2.2 Clustering -- 1.5.2.3 Association Rule -- 1.5.2.4 Unsupervised Learning Use Case -- 1.5.3 Reinforcement Learning (RL) -- 1.6 Conclusion -- References -- Chapter 2 Medical Information Systems -- 2.1 Introduction -- 2.2 Types of Medical Information Systems -- 2.2.1 General Medical Information Systems -- 2.2.2 Specific Medical Information Systems -- 2.3 Types of General Medical Data -- 2.3.1 Numerical Data -- 2.3.2 Textual Data -- 2.3.3 Categorical Data -- 2.3.4 Imaging Data -- 2.4 History of Medical Information Systems 2.5 Collection of MIS Data through Various Platforms -- 2.5.1 Traditional -- 2.5.2 Electronic -- 2.6 Diagnosis and Treatment of Disease through MIS Data -- 2.7 Conclusion -- References -- Chapter 3 The Role of Metaheuristic Algorithms in Healthcare -- 3.1 Introduction -- 3.2 Machine Learning in Healthcare -- 3.3 Health Information System Framework -- 3.4 Privacy and Security of Data -- 3.5 Big Data Analytics in Disease Diagnosis -- 3.6 The Metaheuristic Algorithm for Healthcare -- 3.7 Conclusion -- References -- Chapter 4 Decision Support System to Improve Patient Care -- 4.1 Introduction 4.2 Related Work -- 4.3 Feature Selection -- 4.3.1 Entropy Formula -- 4.4 Experimental Setup -- 4.5 Conclusion -- References -- Chapter 5 Effects of Cell Phone Usage on Human Health and Specifically on the Brain -- 5.1 Introduction -- 5.2 Background -- 5.3 Radiation Produced by a Mobile Phone -- 5.4 MATLAB Tools -- 5.4.1 Problem Statement -- 5.4.2 Research Objective -- 5.5 State-of-the-Art Research and Technology -- 5.6 Discussion of Tools -- 5.7 Methodology -- 5.7.1 Quantitative Approach -- 5.7.2 Design Research -- 5.8 Method of Data Collection -- 5.8.1 Sampling Technique -- 5.8.2 Sample Size 5.8.3 Instrument for Data Collection -- 5.8.4 Research Model -- 5.9 K-Means Clustering -- 5.10 Result and Discussion -- 5.11 Conclusion -- References -- Chapter 6 Feature Extraction and Bio Signals -- 6.1 Introduction -- 6.2 Feature Extraction -- 6.2.1 Common Spatial Patterns -- 6.2.2 Adaptive Common Spatial Patterns -- 6.2.3 Adaptive CSP Patches -- 6.2.4 Canonical Correlation Analysis -- 6.2.5 Band Power Features -- 6.2.6 Adaptive Band Power Features -- 6.2.7 Time Point Features -- 6.2.8 Time Points with Adaptive XDAWN -- 6.3 Feature Selection and its Approaches -- 6.3.1 Filter Approach |
| ctrlnum | (ZDB-4-NLEBK)2627270 (OCoLC)1220905640 (DE-599)BVBBV046983583 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV046983583 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:50:17Z |
| indexdate | 2024-07-10T08:59:18Z |
| institution | BVB |
| isbn | 9781000221787 1000221784 9780429330131 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032391610 |
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| physical | 1 Online-Ressource (xviii, 204 Seiten) Illustrationen |
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| spelling | Machine learning for healthcare handling and managing data edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le First edition Boca Raton ; London ; New York CRC Press 2021 1 Online-Ressource (xviii, 204 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- List of Contributors -- Chapter 1 Fundamentals of Machine Learning -- 1.1 Introduction -- 1.2 Data in Machine Learning -- 1.3 The Relationship between Data Mining, Machine Learning, and Artificial Intelligence -- 1.4 Applications of Machine Learning -- 1.4.1 Machine Learning: The Expected -- 1.4.2 Machine Learning: The Unexpected -- 1.5 Types of Machine Learning -- 1.5.1 Supervised Learning -- 1.5.1.1 Supervised Learning Use Cases -- 1.5.2 Unsupervised Learning 1.5.2.1 Types of Unsupervised Learning -- 1.5.2.2 Clustering -- 1.5.2.3 Association Rule -- 1.5.2.4 Unsupervised Learning Use Case -- 1.5.3 Reinforcement Learning (RL) -- 1.6 Conclusion -- References -- Chapter 2 Medical Information Systems -- 2.1 Introduction -- 2.2 Types of Medical Information Systems -- 2.2.1 General Medical Information Systems -- 2.2.2 Specific Medical Information Systems -- 2.3 Types of General Medical Data -- 2.3.1 Numerical Data -- 2.3.2 Textual Data -- 2.3.3 Categorical Data -- 2.3.4 Imaging Data -- 2.4 History of Medical Information Systems 2.5 Collection of MIS Data through Various Platforms -- 2.5.1 Traditional -- 2.5.2 Electronic -- 2.6 Diagnosis and Treatment of Disease through MIS Data -- 2.7 Conclusion -- References -- Chapter 3 The Role of Metaheuristic Algorithms in Healthcare -- 3.1 Introduction -- 3.2 Machine Learning in Healthcare -- 3.3 Health Information System Framework -- 3.4 Privacy and Security of Data -- 3.5 Big Data Analytics in Disease Diagnosis -- 3.6 The Metaheuristic Algorithm for Healthcare -- 3.7 Conclusion -- References -- Chapter 4 Decision Support System to Improve Patient Care -- 4.1 Introduction 4.2 Related Work -- 4.3 Feature Selection -- 4.3.1 Entropy Formula -- 4.4 Experimental Setup -- 4.5 Conclusion -- References -- Chapter 5 Effects of Cell Phone Usage on Human Health and Specifically on the Brain -- 5.1 Introduction -- 5.2 Background -- 5.3 Radiation Produced by a Mobile Phone -- 5.4 MATLAB Tools -- 5.4.1 Problem Statement -- 5.4.2 Research Objective -- 5.5 State-of-the-Art Research and Technology -- 5.6 Discussion of Tools -- 5.7 Methodology -- 5.7.1 Quantitative Approach -- 5.7.2 Design Research -- 5.8 Method of Data Collection -- 5.8.1 Sampling Technique -- 5.8.2 Sample Size 5.8.3 Instrument for Data Collection -- 5.8.4 Research Model -- 5.9 K-Means Clustering -- 5.10 Result and Discussion -- 5.11 Conclusion -- References -- Chapter 6 Feature Extraction and Bio Signals -- 6.1 Introduction -- 6.2 Feature Extraction -- 6.2.1 Common Spatial Patterns -- 6.2.2 Adaptive Common Spatial Patterns -- 6.2.3 Adaptive CSP Patches -- 6.2.4 Canonical Correlation Analysis -- 6.2.5 Band Power Features -- 6.2.6 Adaptive Band Power Features -- 6.2.7 Time Point Features -- 6.2.8 Time Points with Adaptive XDAWN -- 6.3 Feature Selection and its Approaches -- 6.3.1 Filter Approach Agrawal, Rashmi edt Chatterjee, Jyotir Moy (DE-588)1176054384 edt Kumar, Abhishek edt Rathore, Pramod Singh edt Le Dac-Nhuong 1983- (DE-588)1152237748 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-0-367-35233-2 |
| spellingShingle | Machine learning for healthcare handling and managing data Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- List of Contributors -- Chapter 1 Fundamentals of Machine Learning -- 1.1 Introduction -- 1.2 Data in Machine Learning -- 1.3 The Relationship between Data Mining, Machine Learning, and Artificial Intelligence -- 1.4 Applications of Machine Learning -- 1.4.1 Machine Learning: The Expected -- 1.4.2 Machine Learning: The Unexpected -- 1.5 Types of Machine Learning -- 1.5.1 Supervised Learning -- 1.5.1.1 Supervised Learning Use Cases -- 1.5.2 Unsupervised Learning 1.5.2.1 Types of Unsupervised Learning -- 1.5.2.2 Clustering -- 1.5.2.3 Association Rule -- 1.5.2.4 Unsupervised Learning Use Case -- 1.5.3 Reinforcement Learning (RL) -- 1.6 Conclusion -- References -- Chapter 2 Medical Information Systems -- 2.1 Introduction -- 2.2 Types of Medical Information Systems -- 2.2.1 General Medical Information Systems -- 2.2.2 Specific Medical Information Systems -- 2.3 Types of General Medical Data -- 2.3.1 Numerical Data -- 2.3.2 Textual Data -- 2.3.3 Categorical Data -- 2.3.4 Imaging Data -- 2.4 History of Medical Information Systems 2.5 Collection of MIS Data through Various Platforms -- 2.5.1 Traditional -- 2.5.2 Electronic -- 2.6 Diagnosis and Treatment of Disease through MIS Data -- 2.7 Conclusion -- References -- Chapter 3 The Role of Metaheuristic Algorithms in Healthcare -- 3.1 Introduction -- 3.2 Machine Learning in Healthcare -- 3.3 Health Information System Framework -- 3.4 Privacy and Security of Data -- 3.5 Big Data Analytics in Disease Diagnosis -- 3.6 The Metaheuristic Algorithm for Healthcare -- 3.7 Conclusion -- References -- Chapter 4 Decision Support System to Improve Patient Care -- 4.1 Introduction 4.2 Related Work -- 4.3 Feature Selection -- 4.3.1 Entropy Formula -- 4.4 Experimental Setup -- 4.5 Conclusion -- References -- Chapter 5 Effects of Cell Phone Usage on Human Health and Specifically on the Brain -- 5.1 Introduction -- 5.2 Background -- 5.3 Radiation Produced by a Mobile Phone -- 5.4 MATLAB Tools -- 5.4.1 Problem Statement -- 5.4.2 Research Objective -- 5.5 State-of-the-Art Research and Technology -- 5.6 Discussion of Tools -- 5.7 Methodology -- 5.7.1 Quantitative Approach -- 5.7.2 Design Research -- 5.8 Method of Data Collection -- 5.8.1 Sampling Technique -- 5.8.2 Sample Size 5.8.3 Instrument for Data Collection -- 5.8.4 Research Model -- 5.9 K-Means Clustering -- 5.10 Result and Discussion -- 5.11 Conclusion -- References -- Chapter 6 Feature Extraction and Bio Signals -- 6.1 Introduction -- 6.2 Feature Extraction -- 6.2.1 Common Spatial Patterns -- 6.2.2 Adaptive Common Spatial Patterns -- 6.2.3 Adaptive CSP Patches -- 6.2.4 Canonical Correlation Analysis -- 6.2.5 Band Power Features -- 6.2.6 Adaptive Band Power Features -- 6.2.7 Time Point Features -- 6.2.8 Time Points with Adaptive XDAWN -- 6.3 Feature Selection and its Approaches -- 6.3.1 Filter Approach |
| title | Machine learning for healthcare handling and managing data |
| title_auth | Machine learning for healthcare handling and managing data |
| title_exact_search | Machine learning for healthcare handling and managing data |
| title_exact_search_txtP | Machine learning for healthcare handling and managing data |
| title_full | Machine learning for healthcare handling and managing data edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le |
| title_fullStr | Machine learning for healthcare handling and managing data edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le |
| title_full_unstemmed | Machine learning for healthcare handling and managing data edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le |
| title_short | Machine learning for healthcare |
| title_sort | machine learning for healthcare handling and managing data |
| title_sub | handling and managing data |
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