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AI and machine learning paradigms fo...

Alzubi, Jafar A.

AI and machine learning paradigms for health monitoring systemintelligent data analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and machine learning paradigms for health monitoring systemedited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi.
Reminder of title:	intelligent data analytics /
other author:	Malik, Hasmat.
Published:	Singapore :Springer Singapore :2021.
Description:	xxiv, 513 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Medical informatics.
Online resource:	https://doi.org/10.1007/978-981-33-4412-9
ISBN:	9789813344129$q(electronic bk.)

AI and machine learning paradigms for health monitoring systemintelligent data analytics /
AI and machine learning paradigms for health monitoring systemintelligent data analytics /[electronic resource] :edited by Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi. - Singapore :Springer Singapore :2021. - xxiv, 513 p. :ill., digital ;24 cm. - Studies in big data,v.862197-6503 ;. - Studies in big data ;v.1..

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$q(electronic bk.)

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

196487
Medical informatics.

LC Class. No.: R859.7.D35

Dewey Class. No.: 610.285

AI and machine learning paradigms for health monitoring systemintelligent data analytics /
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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.
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