Healthcare Solutions Using Machine Learning and Informatics (Record no. 6245)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06063cam a2200517Mu 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003322597 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240213122834.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220903s2022 xx o ||| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000767209 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000767205 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781003322597 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 100332259X |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000765489 |
| Qualifying information | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000765482 |
| Qualifying information | (electronic bk. : PDF) |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1201/9781003322597 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1343249040 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1343249040 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | R859.7.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MED |
| Subject category code subdivision | 117000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 094000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MBNS |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.285 |
| Edition number | 23/eng/20220808 |
| 245 00 - TITLE STATEMENT | |
| Title | Healthcare Solutions Using Machine Learning and Informatics |
| Medium | [electronic resource]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Milton : |
| Name of publisher, distributor, etc. | Auerbach Publishers, Incorporated, |
| Date of publication, distribution, etc. | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (267 p.) |
| 500 ## - GENERAL NOTE | |
| General note | Description based upon print version of record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Chapter 1: Introduction to Artificial Intelligence in Healthcare -- 1.1 Introduction -- 1.1.1 Major Activities in Medical Image Analysis -- 1.1.2 The Role of ML in Medical Image Analysis -- 1.2 Medical Imaging Types -- 1.2.1 Pre-Processing Using ML -- 1.2.1.1 Introduction to Pre-processing -- 1.2.2 Segmentation Using ML -- 1.2.2.1 Introduction to Segmentation -- 1.2.3 Registration Using ML -- 1.2.3.1 Introduction -- 1.3 Deep Learning in Medical Imaging -- 1.4 Conclusion -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 2: Machine Learning in Radio Imaging -- 2.1 Introduction -- 2.2 Analysis of Related Work -- 2.3 Summary -- References -- Chapter 3: Solutions Using Machine Learning for Diabetes -- 3.1 Introduction -- 3.2 Diabetes Prevalence -- 3.3 Diabetes Risk Factors -- 3.4 Machine Learning -- 3.4.1 Artificial Neural Networks -- 3.4.2 Support Vector Machine -- 3.4.3 Fuzzy Logic -- 3.4.4 Logistic Regression -- 3.5 A Case Study -- 3.6 Results and Discussion -- 3.6.1 Multicollinearity Test Results/ Variables -- 3.6.2 Multilinear Regression Test Results / Coefficients -- 3.7 Conclusions -- References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 4: A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Methodology -- 4.3.1 Dataset -- 4.3.2 Implementing the Classifiers -- 4.3.2.1 XGBOOST -- 4.3.2.1.1 XGBoost Result Analysis -- 4.3.2.2 Random Forest -- 4.3.2.2.1 Random Forest Result Analysis -- 4.3.2.3 Naïve Bayes -- 4.3.2.3.1 Naïve Bayes Result Analysis -- 4.3.2.4 Majority Voting Ensemble (MVE) -- 4.3.2.4.1 Majority Voting Ensemble Result Analysis -- 4.4 Conclusion -- References -- Chapter 5: Machine Learning Algorithms for Industry Using Image Sensing |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.1 Introduction -- 5.2 What is Manufacturing Artificial Intelligence? -- 5.3 Defining the Industrial Internet of Things -- 5.4 IoT History -- 5.5 IIoT Architectures -- 5.6 Applications of IIoT -- 5.6.1 Smart Manufacturing -- 5.7 Securing the Internet of Things -- 5.7.1 Safety -- 5.7.2 Security -- 5.7.3 Privacy -- 5.8 Challenges and Opportunities -- 5.9 Future of IIoT -- 5.10 Communication 5G and Beyond -- 5.11 How Did AI Develop in Production? -- 5.11.1 AI in Manufacturing Current State -- 5.11.2 What is AI's Future in Production? |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.12 Process and Factory Floors that are Flexible and Configurable -- 5.13 Manufacturing and AI: Applications and Benefits -- 5.14 Impact of COVID-19 on Industrial Internet of Things -- 5.15 Conclusion -- References -- Chapter 6: Solutions Using Machine Learning for COVID-19 -- 6.1 Introduction -- 6.2 Application of ML and AI Methods to COVID-19 -- 6.2.1 Screening and Diagnosis -- 6.2.1.1 Using the Patient's Symptoms and Routine Tests -- 6.2.1.2 Using Chest X-rays and CT Images -- 6.2.2 Population Monitoring -- 6.2.2.1 Monitoring Patients -- 6.2.2.2 Contact Tracing |
| 500 ## - GENERAL NOTE | |
| General note | 6.2.2.3 Avoiding Physical Contact |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, anddata informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| General subdivision | Medical applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Medical informatics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gupta, Punit, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Saini, Dinesh Kumar, |
| Dates associated with a name | 1974- |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Verma, Rohit |
| Titles and other words associated with a name | (Researcher in computing), |
| Relator term | editor. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003322597">https://www.taylorfrancis.com/books/9781003322597</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
No items available.
