Machine learning for healthcare: handling and managing data
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Ausgabe: | First edition |
| Online-Zugang: | FHD01 TUM01 |
| Beschreibung: | 1 Online-Ressource (xviii, 204 Seiten) Illustrationen |
| ISBN: | 9781000221787 1000221784 9780429330131 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046983583 | ||
| 003 | DE-604 | ||
| 005 | 20211112 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201105s2021 |||| o||u| ||||||eng d | ||
| 020 | |a 9781000221787 |9 978-1-00-022178-7 | ||
| 020 | |a 1000221784 |9 1-00-022178-4 | ||
| 020 | |a 9780429330131 |9 978-0-429-33013-1 | ||
| 035 | |a (ZDB-4-NLEBK)2627270 | ||
| 035 | |a (OCoLC)1220905640 | ||
| 035 | |a (DE-599)BVBBV046983583 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1050 |a DE-91 | ||
| 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 | ||
| 338 | |b cr |2 rdacarrier | ||
| 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 | |
| 700 | 0 | |a Le Dac-Nhuong |d 1983- |0 (DE-588)1152237748 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-367-35233-2 |
| 912 | |a ZDB-4-NLEBK |a ZDB-30-PQE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032391610 | ||
| 966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6367831 |l FHD01 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2627270 |l TUM01 |p ZDB-4-NLEBK |q TUM_PDA_EBSCOMED_Kauf |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804181919744655360 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Agrawal, Rashmi Chatterjee, Jyotir Moy Kumar, Abhishek Rathore, Pramod Singh Le Dac-Nhuong 1983- |
| author2_role | edt edt edt edt edt |
| author2_variant | r a ra j m c jm jmc a k ak p s r ps psr l d n ldn |
| author_GND | (DE-588)1176054384 (DE-588)1152237748 |
| author_facet | Agrawal, Rashmi Chatterjee, Jyotir Moy Kumar, Abhishek Rathore, Pramod Singh Le Dac-Nhuong 1983- |
| building | Verbundindex |
| bvnumber | BV046983583 |
| collection | ZDB-4-NLEBK ZDB-30-PQE |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04716nmm a2200457 c 4500</leader><controlfield tag="001">BV046983583</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211112 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201105s2021 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000221787</subfield><subfield code="9">978-1-00-022178-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000221784</subfield><subfield code="9">1-00-022178-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780429330131</subfield><subfield code="9">978-0-429-33013-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-NLEBK)2627270</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1220905640</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046983583</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1050</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for healthcare</subfield><subfield code="b">handling and managing data</subfield><subfield code="c">edited by Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 204 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Agrawal, Rashmi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chatterjee, Jyotir Moy</subfield><subfield code="0">(DE-588)1176054384</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Abhishek</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rathore, Pramod Singh</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Le Dac-Nhuong</subfield><subfield code="d">1983-</subfield><subfield code="0">(DE-588)1152237748</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-367-35233-2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032391610</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6367831</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHD01_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2627270</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="q">TUM_PDA_EBSCOMED_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| 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 |
| oclc_num | 1220905640 |
| open_access_boolean | |
| owner | DE-1050 DE-91 DE-BY-TUM |
| owner_facet | DE-1050 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xviii, 204 Seiten) Illustrationen |
| psigel | ZDB-4-NLEBK ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf ZDB-4-NLEBK TUM_PDA_EBSCOMED_Kauf |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press |
| record_format | marc |
| 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 |
| work_keys_str_mv | AT agrawalrashmi machinelearningforhealthcarehandlingandmanagingdata AT chatterjeejyotirmoy machinelearningforhealthcarehandlingandmanagingdata AT kumarabhishek machinelearningforhealthcarehandlingandmanagingdata AT rathorepramodsingh machinelearningforhealthcarehandlingandmanagingdata AT ledacnhuong machinelearningforhealthcarehandlingandmanagingdata |