國立虎尾科技大學 |

AI and Machine Learning Paradigms for Health Monitoring System = Intelligent Data Analytics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI and Machine Learning Paradigms for Health Monitoring System/ edited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi.
其他題名:	Intelligent Data Analytics /
其他作者:	Alzubi, Jafar A.
面頁冊數:	XXIV, 513 p. 259 illus., 183 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Health Informatics. -
電子資源:	https://doi.org/10.1007/978-981-33-4412-9
ISBN:	9789813344129

AI and Machine Learning Paradigms for Health Monitoring System = Intelligent Data Analytics /
AI and Machine Learning Paradigms for Health Monitoring SystemIntelligent Data Analytics /[electronic resource] :edited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi. - 1st ed. 2021. - XXIV, 513 p. 259 illus., 183 illus. in color.online resource. - Studies in Big Data,862197-6511 ;. - Studies in Big Data,8.

Optimization Solutions for Demand Side Management and Monitoring -- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics -- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method -- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations -- Routing Protocols for Internet of Vehicles: A Review -- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey -- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm -- Artificial Intelligence: It’s Role in Diagnosis and Monitoring against COVID-19 -- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics -- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

ISBN: 9789813344129

Standard No.: 10.1007/978-981-33-4412-9doiSubjects--Topical Terms:

593963
Health Informatics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

AI and Machine Learning Paradigms for Health Monitoring System = Intelligent Data Analytics /
LDR:03500nam a22004095i 4500 001 1053295
003 DE-He213
005 20210914011214.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789813344129 $9 978-981-33-4412-9
024 7 $a 10.1007/978-981-33-4412-9 $2 doi
035 $a 978-981-33-4412-9
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a AI and Machine Learning Paradigms for Health Monitoring System $h [electronic resource] : $b Intelligent Data Analytics / $c edited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XXIV, 513 p. 259 illus., 183 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6511 ; $v 86
505 0 $a Optimization Solutions for Demand Side Management and Monitoring -- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics -- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method -- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations -- Routing Protocols for Internet of Vehicles: A Review -- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey -- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm -- Artificial Intelligence: It’s Role in Diagnosis and Monitoring against COVID-19 -- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics -- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
520 $a This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Health informatics. $3 1064466
650 0 $a Machine learning. $3 561253
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
700 1 $a Alzubi, Jafar A. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358127
700 1 $a Fatema, Nuzhat. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358126
700 1 $a Malik, Hasmat. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1299633
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789813344112
776 0 8 $i Printed edition: $z 9789813344136
776 0 8 $i Printed edition: $z 9789813344143
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-981-33-4412-9
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)