Smart Healthcare for Disease Diagnosis and Prevention

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  • Publisher : Academic Press
  • Release : 14 January 2020
  • ISBN : 9780128179147
  • Page : 270 pages
  • Rating : 4.5/5 from 103 voters

Download Smart Healthcare for Disease Diagnosis and Prevention in PDF, Epub and Kindle

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering. The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views. Discusses how new advanced technologies are used in real healthcare applications to improve patient safety Explores how medical data such as signals and images can be used in diagnosis Covers how wireless communications devices, such as sensor networks, RFID, wireless body area network, and wearable sensors are used in the medical environment

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Smart Healthcare for Disease Diagnosis and Prevention

Smart Healthcare for Disease Diagnosis and Prevention
  • Author : Sudip Paul,Dinesh Bhatia
  • Publisher : Academic Press
  • Release Date : 2020-01-14
  • ISBN : 9780128179147
GET THIS BOOKSmart Healthcare for Disease Diagnosis and Prevention

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find

Improving Diagnosis in Health Care

Improving Diagnosis in Health Care
  • Author : National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Diagnostic Error in Health Care
  • Publisher : National Academies Press
  • Release Date : 2016-01-29
  • ISBN : 9780309377690
GET THIS BOOKImproving Diagnosis in Health Care

Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people

Smart Healthcare Engineering Management and Risk Analytics

Smart Healthcare Engineering Management and Risk Analytics
  • Author : Shuai Ding,Desheng Wu,Luyue Zhao,Xueyan Li
  • Publisher : Springer Nature
  • Release Date : 2022-07-20
  • ISBN : 9789811925603
GET THIS BOOKSmart Healthcare Engineering Management and Risk Analytics

This book aims to stay one step beyond the innovations of information and communication technologies and smart healthcare management and provides an overview of the risks smart healthcare management could help to alleviate, and those risks it would create or amplify. Inclusive discussions of the core of smart healthcare services in the perspective of system engineering are enclosed, such as smart healthcare definition, data information knowledge service, and intelligent hospital management. Summaries of technological and theoretical innovations spanning each step

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things
  • Author : Fadi Al-Turjman,Anand Nayyar
  • Publisher : Springer Nature
  • Release Date : 2022
  • ISBN : 9783030809287
GET THIS BOOKMachine Learning for Critical Internet of Medical Things

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics
  • Author : Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem
  • Publisher : CRC Press
  • Release Date : 2022-08-08
  • ISBN : 9781000630510
GET THIS BOOKDesigning Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also

Nanomaterials in Diagnostic Tools and Devices

Nanomaterials in Diagnostic Tools and Devices
  • Author : Suvardhan Kanchi,D. Sharma
  • Publisher : Elsevier
  • Release Date : 2020-06-04
  • ISBN : 9780128179246
GET THIS BOOKNanomaterials in Diagnostic Tools and Devices

Nanomaterials in Diagnostic Tools and Devices provides a complete overview of the significance of nanomaterials in fabricating selective and performance enhanced nanodevices. It is an interdisciplinary reference that includes contributing subjects from nanomaterials, biosensors, materials science, biomedical instrumentation and medicinal chemistry. This book is authored by experts in the field of nanomaterial synthesis, modeling, and biosensor applications, and provides insight to readers working in various science fields on the latest advancements in smart and miniaturized nanodevices. These devices enable convenient

Computational Intelligence in Healthcare

Computational Intelligence in Healthcare
  • Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
  • Publisher : Springer Nature
  • Release Date : 2021-05-11
  • ISBN : 9783030687236
GET THIS BOOKComputational Intelligence in Healthcare

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
  • Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
  • Publisher : Academic Press
  • Release Date : 2021-10-22
  • ISBN : 9780128220627
GET THIS BOOKArtificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book

Computing Paradigms for Smart Healthcare

Computing Paradigms for Smart Healthcare
  • Author : B. Vinoth Kumar
  • Publisher : Unknown
  • Release Date : 2020-11-20
  • ISBN : 1536186198
GET THIS BOOKComputing Paradigms for Smart Healthcare

Smart healthcare has gradually gained its popularity because of the development of information technologies and computing paradigms such as internet of things (loT), big data, Cloud computing and artificial intelligence. These technologies transform the conventional medical system in to smarter one by making healthcare more convenient, efficient, accurate, and more customized. Smart healthcare will lead to a revolutionized healthcare system that enables the participation of all people for the early prediction and prevention of diseases so that preemptive and pro-active

Smart Health Systems

Smart Health Systems
  • Author : Sonali Vyas,Deepshikha Bhargava
  • Publisher : Springer Nature
  • Release Date : 2021-08-24
  • ISBN : 9789811642012
GET THIS BOOKSmart Health Systems

The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need

ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY

ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY
  • Author : Dr. Alpika Tripathi ,Dr. Kamlesh Kumar Singh ,Dr. Geetika Srivastava ,Dr. P.K. Maurya
  • Publisher : Book Rivers
  • Release Date : 2022-07-12
  • ISBN : 9789355152374
GET THIS BOOKANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Author : Adam Bohr,Kaveh Memarzadeh
  • Publisher : Academic Press
  • Release Date : 2020-06-21
  • ISBN : 9780128184394
GET THIS BOOKArtificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its

Smart Healthcare Systems

Smart Healthcare Systems
  • Author : Adwitiya Sinha,Megha Rathi
  • Publisher : CRC Press
  • Release Date : 2019-07-24
  • ISBN : 9780429670282
GET THIS BOOKSmart Healthcare Systems

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of

Networking Health

Networking Health
  • Author : National Research Council,Commission on Physical Sciences, Mathematics, and Applications,Computer Science and Telecommunications Board,Committee on Enhancing the Internet for Health Applications: Technical Requirements and Implementation Strategies
  • Publisher : National Academies Press
  • Release Date : 2000-07-12
  • ISBN : 9780309068437
GET THIS BOOKNetworking Health

Consumer health websites have garnered considerable media attention, but only begin to scratch the surface of the more pervasive transformations the Internet could bring to health and health care. Networking Health examines ways in which the Internet may become a routine part of health care delivery and payment, public health, health education, and biomedical research. Building upon a series of site visits, this book: Weighs the role of the Internet versus private networks in uses ranging from the transfer of

Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics
  • Author : Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-10-12
  • ISBN : 9783110676129
GET THIS BOOKPredictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be