Smart Healthcare For Disease Diagnosis And Prevention

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Smart Healthcare for Disease Diagnosis and Prevention

Sudip Paul,Dinesh Bhatia

Author : Sudip Paul,Dinesh Bhatia
Publisher : Academic Press
Page : 271 pages
File Size : 41,5 Mb
Release : 2020-01-14
Category : Technology & Engineering
ISBN : 9780128179147

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Smart Healthcare for Disease Diagnosis and Prevention by Sudip Paul,Dinesh Bhatia Pdf

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

Smart Healthcare Systems

Adwitiya Sinha,Megha Rathi

Author : Adwitiya Sinha,Megha Rathi
Publisher : CRC Press
Page : 234 pages
File Size : 49,7 Mb
Release : 2019-07-24
Category : Computers
ISBN : 9780429671777

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Smart Healthcare Systems by Adwitiya Sinha,Megha Rathi Pdf

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 Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Smart Health Systems

Sonali Vyas,Deepshikha Bhargava

Author : Sonali Vyas,Deepshikha Bhargava
Publisher : Springer Nature
Page : 131 pages
File Size : 48,9 Mb
Release : 2021-08-24
Category : Medical
ISBN : 9789811642012

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Smart Health Systems by Sonali Vyas,Deepshikha Bhargava Pdf

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 and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security

Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas

Author : Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas
Publisher : IGI Global
Page : 372 pages
File Size : 53,9 Mb
Release : 2024-02-14
Category : Medical
ISBN : 9798369326404

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Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security by Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas Pdf

The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to fully harness the potential of Healthcare 5.0. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security presents a comprehensive solution to the pressing challenges in the digitalized healthcare industry. This research book dives into the principles of Healthcare 5.0 and explores practical implementation through cloud computing, data analytics, and federated learning. Readers will gain profound insights into the role of cloud computing in managing vast amounts of healthcare data, such as electronic health records and real-time analytics. Cloud-based frameworks, architectures, and relevant use cases are explored to optimize healthcare delivery and improve patient outcomes.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 54,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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 applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

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

Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem

Author : Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem
Publisher : CRC Press
Page : 282 pages
File Size : 46,6 Mb
Release : 2022-08-08
Category : Technology & Engineering
ISBN : 9781000630510

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Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics by Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem Pdf

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 include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Smart Healthcare for Sustainable Urban Development

Madaan, Rosy,Bhatia, Komal Kumar,Panda, Supriya P.,Jain, Vishal,Gulati, Payal

Author : Madaan, Rosy,Bhatia, Komal Kumar,Panda, Supriya P.,Jain, Vishal,Gulati, Payal
Publisher : IGI Global
Page : 287 pages
File Size : 51,6 Mb
Release : 2022-06-24
Category : Political Science
ISBN : 9781668425091

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Smart Healthcare for Sustainable Urban Development by Madaan, Rosy,Bhatia, Komal Kumar,Panda, Supriya P.,Jain, Vishal,Gulati, Payal Pdf

With the development of information technology, the concept of smart healthcare has been evolving gradually. A new generation of information technologies, such as the internet of things, cloud computing, big data, and artificial intelligence, have transformed the old medical system and improved the efficiency, convenience, and personalization of healthcare. These changes are necessary to keep up with the requirements of individual people and the improvements in the efficiency of medical care, which largely enhances the experience of medical and health services. Smart Healthcare for Sustainable Urban Development discusses current challenges of digital healthcare adoption as well as how the internet of things and big data technologies can help promote digital healthcare adoption and improve healthcare efficiency. The book also considers how information technologies can support the adoption of smart health for overall improved healthcare delivery and access. Covering topics such as artificial intelligence and smart hospitals, this reference work is ideal for researchers, scholars, practitioners, academicians, industry professionals, instructors, and students

Multimodal Medical Signals Fusion for Smart Healthcare Systems

David Gerald

Author : David Gerald
Publisher : Unknown
Page : 78 pages
File Size : 50,9 Mb
Release : 2021-08-07
Category : Electronic
ISBN : 9798451934975

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Multimodal Medical Signals Fusion for Smart Healthcare Systems by David Gerald Pdf

Keywords: Bibliometric Blockchain technology Healthcare industries, information security Privacy protection, Prospects smart healthcare book smart healthcare smart healthcare solutions smart healthcare system using iot smart healthcare devices smart healthcare monitoring system smart healthcare products smart healthcare compliance resources smart healthcare massage smart healthcare system smart healthcare applications smart healthcare adalah smart healthcare app smart healthcare architecture smart healthcare analytics in iot enabled environment smart healthcare and assisted living smart healthcare and medicine smart healthcare case study smart healthcare card smart healthcare challenges smart healthcare city smart healthcare consumer smart healthcare buildings smart healthcare business smart bed healthcare smart building healthcare facilities smart healthcare monitoring system based on iot smart contracts blockchain healthcare smart healthcare delivery smart healthcare design smart healthcare download smart data healthcare smart dust healthcare smart digital healthcare smart healthcare for disease diagnosis and prevention smart healthcare foot massager smart healthcare for elderly patients include smart healthcare features smart fabrics healthcare cognitive smart healthcare for pathology detection and monitoring smart healthcare market forecast smart healthcare systems framework smart healthcare technology smart healthcare treadmill g7 smart healthcare trends Healthcare Smart homes Radio frequency sensing Sneeze Cough Face touching COVID-19 Skin electronics Smart sensors Energy harvesters Health monitors Human-machine interfaces Internet of medical things (IoMT) Smart healthcare Signals fusion Medical images Sustainable cities Blockchain Off-chain Connected living 5G healthcare vertical Internet of health things Explainable AI Blockchain Smart contract eHealth Access control Authentication Authorization Internet of Things Wearable device Pregnancy M-healthcare Cloud computing Cloud computing Health Severity Index (HSI) Time Sensitivity Parameter (TSP) Recurrent Neural Network (RNN) Keywords: Internet of Things Healthcare Medical technology Glucose Diabetes Internet of things Integrated platform Smart healthcare Health service facilitation Ontological framework Smart health Certificateless aggregate signature Access control Aggregation Random oracle Internet of Medical Things (IoMT) Resistance Behavioural reasoning theory Scepticism Configurational analysis Smart healthcare system Access control Privacy-preserving searchable encryption Edge computing Edge computing layer Discrete control synthesis Computing infrastructures Environment control Context-aware control Wearable sensors Healthcare monitoring Smart prosthetics Assistive technologies Artificial Intelligence In Healthcare Artificial Intelligence in Medicine the Health IT artificial intelligence in precision health Healthcare applications Biomedical research Epileptic seizure Artificial intelligence Deep Learning Multi-source time-series Healthcare

Smart Healthcare: Challenges, Directions and Future Predictions

Lakia Stevens

Author : Lakia Stevens
Publisher : Hayle Medical
Page : 0 pages
File Size : 43,7 Mb
Release : 2023-09-26
Category : Medical
ISBN : 1646475666

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Smart Healthcare: Challenges, Directions and Future Predictions by Lakia Stevens Pdf

Smart healthcare makes use of the new generation of information technologies to change the conventional medical system in a comprehensive manner, and make the healthcare more personalized, convenient and efficient. It is responsible for accessing information, connecting institutions, materials and people, which are linked in healthcare systems. It is also engaged in managing and responding to the requirements of the medical ecosystem in a smart manner. There are various applications of smart healthcare, including prevention and risk monitoring of diseases, drug research, assistance in the treatment and diagnosis of diseases, providing virtual assistants and playing an important role in developing smart hospitals. Some of the current challenges in smart healthcare include a lack of programmatic documents and macro guidance that results in non-achievement of the desired goals and eventually leads to the wastage of resources. This book aims to understand the challenges, directions and future predictions of smart healthcare. Researchers and students in this field will be assisted by it.

Improving Diagnosis in Health Care

National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Diagnostic Error 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
Page : 473 pages
File Size : 44,8 Mb
Release : 2015-12-29
Category : Medical
ISBN : 9780309377720

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Improving Diagnosis in Health Care by National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Diagnostic Error in Health Care Pdf

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 will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

Networking Technologies in Smart Healthcare

Pooja Singh,Omprakash Kaiwartya,Nidhi Sindhwani,Vishal Jain,Rohit Anand

Author : Pooja Singh,Omprakash Kaiwartya,Nidhi Sindhwani,Vishal Jain,Rohit Anand
Publisher : CRC Press
Page : 441 pages
File Size : 55,8 Mb
Release : 2022-12-20
Category : Technology & Engineering
ISBN : 9781000798821

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Networking Technologies in Smart Healthcare by Pooja Singh,Omprakash Kaiwartya,Nidhi Sindhwani,Vishal Jain,Rohit Anand Pdf

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: • Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. • Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. • Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. • Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

Smart Medical Data Sensing and IoT Systems Design in Healthcare

Chakraborty, Chinmay

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 288 pages
File Size : 47,6 Mb
Release : 2019-09-20
Category : Medical
ISBN : 9781799802624

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Smart Medical Data Sensing and IoT Systems Design in Healthcare by Chakraborty, Chinmay Pdf

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.

Smart Healthcare Analytics: State of the Art

Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol

Author : Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol
Publisher : Springer Nature
Page : 228 pages
File Size : 45,7 Mb
Release : 2021-09-30
Category : Technology & Engineering
ISBN : 9789811653049

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Smart Healthcare Analytics: State of the Art by Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol Pdf

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Computational Intelligence in Healthcare

Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul

Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Publisher : Springer Nature
Page : 418 pages
File Size : 53,9 Mb
Release : 2021-05-11
Category : Medical
ISBN : 9783030687236

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Computational Intelligence in Healthcare by Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul Pdf

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 challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui

Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Page : 292 pages
File Size : 49,5 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

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 is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Smart Healthcare For Disease Diagnosis And Prevention

Smart Healthcare for Disease Diagnosis and Prevention by Sudip Paul,Dinesh Bhatia Pdf

Smart Healthcare Systems by Adwitiya Sinha,Megha Rathi Pdf

Smart Health Systems by Sonali Vyas,Deepshikha Bhargava Pdf

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security by Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas Pdf

Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics by Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem Pdf

Smart Healthcare for Sustainable Urban Development by Madaan, Rosy,Bhatia, Komal Kumar,Panda, Supriya P.,Jain, Vishal,Gulati, Payal Pdf

Multimodal Medical Signals Fusion for Smart Healthcare Systems by David Gerald Pdf

Smart Healthcare: Challenges, Directions and Future Predictions by Lakia Stevens Pdf

Improving Diagnosis in Health Care by National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Diagnostic Error in Health Care Pdf

Networking Technologies in Smart Healthcare by Pooja Singh,Omprakash Kaiwartya,Nidhi Sindhwani,Vishal Jain,Rohit Anand Pdf

Smart Medical Data Sensing and IoT Systems Design in Healthcare by Chakraborty, Chinmay Pdf

Smart Healthcare Analytics: State of the Art by Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol Pdf

Computational Intelligence in Healthcare by Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul Pdf

Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

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