東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Machine learning and the internet of...

Singh, Krishna Kant

Linked to FindBook

Google Book

Amazon

博客來

Machine learning and the internet of medical things in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and the internet of medical things in healthcare/ edited by Krishna Kant Singh, Mohamed Elhoseny, Akansha Singh, Ahmed A. Elngar.
other author:	Singh, Krishna Kant
Published:	Amsterdam :Academic Press, : 2021.,
Description:	1 online resource.
Notes:	Includes index.
[NT 15003449]:	1. Machine Learning Architecture and Framework 2. Machine Learning in Healthcare: Review, Opportunities and Challenges 3. Machine Learning for Biomedical Signal Processing 4. Artificial Intelligence in Medicine 5. Diagnosing of Disease Using Machine Learning 6. A Novel Approach of Telemedicine for Managing Fetal Condition based on Machine Learning Technology from Iot Based Wearable Medical Device 7. Iot Based Healthcare Delivery Services to Promote Transparency and Patient Satisfaction in a Corporate Hospital 8. Examining Diabetic Subjects on Their Correlation with TTH and CAD: A Statistical Approach on Exploratory Results 9. Cancer Prediction and Diagnosis Hinged on HCML in IOMT Environment 10. Parameterization Techniques for Automatic Speech Recognition System 11. Impact of Big Data in Healthcare System: A Quick Look into Electronic Health Record Systems.
Subject:	Medical technology. -
Online resource:	https://www.sciencedirect.com/science/book/9780128212295
ISBN:	9780128232170 (electronic bk.)

Machine learning and the internet of medical things in healthcare
Machine learning and the internet of medical things in healthcare[electronic resource] /edited by Krishna Kant Singh, Mohamed Elhoseny, Akansha Singh, Ahmed A. Elngar. - Amsterdam :Academic Press,2021. - 1 online resource.

Includes index.

1. Machine Learning Architecture and Framework 2. Machine Learning in Healthcare: Review, Opportunities and Challenges 3. Machine Learning for Biomedical Signal Processing 4. Artificial Intelligence in Medicine 5. Diagnosing of Disease Using Machine Learning 6. A Novel Approach of Telemedicine for Managing Fetal Condition based on Machine Learning Technology from Iot Based Wearable Medical Device 7. Iot Based Healthcare Delivery Services to Promote Transparency and Patient Satisfaction in a Corporate Hospital 8. Examining Diabetic Subjects on Their Correlation with TTH and CAD: A Statistical Approach on Exploratory Results 9. Cancer Prediction and Diagnosis Hinged on HCML in IOMT Environment 10. Parameterization Techniques for Automatic Speech Recognition System 11. Impact of Big Data in Healthcare System: A Quick Look into Electronic Health Record Systems.

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.

ISBN: 9780128232170 (electronic bk.)

Nat. Bib. No.: GBC115975bnbSubjects--Topical Terms:

672535
Medical technology.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: R855.3

Dewey Class. No.: 610.2854678

Machine learning and the internet of medical things in healthcare
LDR:02637cmm a2200241 a 4500 001 2308317
006 m o d
007 cr |n|||||||||
008 230530s2021 ne o 001 0 eng d
015 $a GBC115975 $2 bnb
020 $a 9780128232170 (electronic bk.)
020 $a 9780128212295 (pbk.)
035 $a 022550878
040 $a StDuBDS $b eng $c StDuBDS $d Uk
041 0 $a eng
050 4 $a R855.3
082 0 4 $a 610.2854678 $2 23
245 0 0 $a Machine learning and the internet of medical things in healthcare $h [electronic resource] / $c edited by Krishna Kant Singh, Mohamed Elhoseny, Akansha Singh, Ahmed A. Elngar.
260 $a Amsterdam : $b Academic Press, $c 2021.
300 $a 1 online resource.
500 $a Includes index.
505 0 $a 1. Machine Learning Architecture and Framework 2. Machine Learning in Healthcare: Review, Opportunities and Challenges 3. Machine Learning for Biomedical Signal Processing 4. Artificial Intelligence in Medicine 5. Diagnosing of Disease Using Machine Learning 6. A Novel Approach of Telemedicine for Managing Fetal Condition based on Machine Learning Technology from Iot Based Wearable Medical Device 7. Iot Based Healthcare Delivery Services to Promote Transparency and Patient Satisfaction in a Corporate Hospital 8. Examining Diabetic Subjects on Their Correlation with TTH and CAD: A Statistical Approach on Exploratory Results 9. Cancer Prediction and Diagnosis Hinged on HCML in IOMT Environment 10. Parameterization Techniques for Automatic Speech Recognition System 11. Impact of Big Data in Healthcare System: A Quick Look into Electronic Health Record Systems.
520 $a Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.
650 0 $a Medical technology. $3 672535
650 0 $a Machine learning. $3 533906
650 0 $a Internet of things. $3 2057703
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Singh, Krishna Kant $q (Telecommunications professor), $e editor. $3 3614646
700 1 $a Elhoseny, Mohamed, $e editor. $3 3614647
700 1 $a Singh, Akansha, $e editor. $3 3614648
700 1 $a Elngar, Ahmed A., $e editor. $3 3614649
856 4 0 $u https://www.sciencedirect.com/science/book/9780128212295