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Next Generation Healthcare Informatics, Tripathy


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Цена: 23757.00р.
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Автор: Tripathy
Название:  Next Generation Healthcare Informatics
ISBN: 9789811924187
Издательство: Springer
Классификация:
ISBN-10: 981192418X
Обложка/Формат: Soft cover
Вес: 0.00 кг.
Дата издания: 22.06.2023
Язык: English
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.
Дополнительное описание: Chapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends.- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities.- Chapter 3. Examination of Health Data Performance Depending on



Next Generation Healthcare Informatics

Автор: Tripathy
Название: Next Generation Healthcare Informatics
ISBN: 9811924155 ISBN-13(EAN): 9789811924156
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Medical imaging and health informatics

Автор: Jaware
Название: Medical imaging and health informatics
ISBN: 111981913X ISBN-13(EAN): 9781119819134
Издательство: Wiley
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Цена: 32947.00 р.
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Описание: Cyril, Bishop of Alexandria (412-444), is best known as a protagonist in the christological controversy of the second quarter of the fifth century. Readers may be surprised therefore to find such polemic absent from this early work on the twelve minor prophets of the Old Testament. Cyril appears in this work as a balanced commentator, eclectic in his attitude and tolerant of alternative views.

Internet of Things and Big Data Technologies for Next Generation Healthcare

Автор: Bhatt Chintan, Dey Nilanjan, Ashour Amira S.
Название: Internet of Things and Big Data Technologies for Next Generation Healthcare
ISBN: 3319842285 ISBN-13(EAN): 9783319842288
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.

Internet of Things and Big Data Technologies for Next Generation Healthcare

Автор: Chintan Bhatt; Nilanjan Dey; Amira S. Ashour
Название: Internet of Things and Big Data Technologies for Next Generation Healthcare
ISBN: 3319497359 ISBN-13(EAN): 9783319497358
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

Advanced Computational Intelligence in Healthcare-7

Автор: Maglogiannis
Название: Advanced Computational Intelligence in Healthcare-7
ISBN: 3662611120 ISBN-13(EAN): 9783662611128
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care.

Iot Technologies for Healthcare: 6th Eai International Conference, Healthyiot 2019, Braga, Portugal, December 4-6, 2019, Proceedings

Автор: Garcia Nuno M., Pires Ivan Miguel, Goleva Rossitza
Название: Iot Technologies for Healthcare: 6th Eai International Conference, Healthyiot 2019, Braga, Portugal, December 4-6, 2019, Proceedings
ISBN: 3030420280 ISBN-13(EAN): 9783030420284
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the proceedings of the 6th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2019, held in Braga, Portugal, in December 2019.

Health Informatics: A Computational Perspective in Healthcare

Автор: Patgiri Ripon, Biswas Anupam, Roy Pinki
Название: Health Informatics: A Computational Perspective in Healthcare
ISBN: 9811597340 ISBN-13(EAN): 9789811597343
Издательство: Springer
Цена: 27950.00 р.
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Описание: Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data.

Data Science and Medical Informatics in Healthcare Technologies

Автор: Thi Dieu Linh Nguyen, Lu Zhongyu (joan)
Название: Data Science and Medical Informatics in Healthcare Technologies
ISBN: 9811630313 ISBN-13(EAN): 9789811630316
Издательство: Springer
Цена: 9083.00 р.
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Описание:

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Blockchain for healthcare systems

Название: Blockchain for healthcare systems
ISBN: 0367693526 ISBN-13(EAN): 9780367693527
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Blockchain for Healthcare Systems: Challenges, Privacy, and Securing of Data provides a detailed insight on how to reap the benefits of blockchain technology in healthcare, as the healthcare sector faces several challenges associated with privacy and security issues. It also provides in-depth knowledge regarding blockchain in healthcare and the underlying components.This book explores securing healthcare data using blockchain technology. It discusses challenges and solutions for blockchain technology in the healthcare sector and presents the digital transformation of the healthcare sector using different technologies. It covers the handling of healthcare data/medical records and managing the medical supply chain all using blockchain technology.The contents of this book are highly beneficial to educators, researchers, and others working in a similar domain.

Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models

Автор: Mangla Monika, Sharma Nonita, Garg Poonam
Название: Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models
ISBN: 1119791723 ISBN-13(EAN): 9781119791720
Издательство: Wiley
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Цена: 29771.00 р.
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Описание: ?Emerging Technologies for Healthcare? beginnt mit einer IoT-basierten Lцsung fГ1/4r die Automatisierung im Gesundheitssektor, wodurch Verfahren auf Grundlage von fortschrittlichen Deep-Learning-Techniken ermцglicht werden.

Praktische Lцsungen, die auf verschiedenen Ansдtzen des maschinellen Lernens beruhen, werden vorgestellt und auf die Analyse und Vorhersage von Krankheiten angewandt. Ein Beispiel ist die Nutzung einer dreidimensionalen Matrix fГ1/4r die Behandlung chronischer Nierenerkrankungen, die Diagnose und Prognose des erworbenen demyelinisierenden Syndroms und von Autismus-Spektrum-Stцrungen sowie die Erkennung von LungenentzГ1/4ndungen. AuГŸerdem werden verschiedene geeignete Ansдtze vorgestellt, wie die Gesundheitssysteme mit COVID-19-Fдllen umgehen kцnnen. Daneben wird ein detaillierter Erkennungsmechanismus dargelegt, mit dessen Hilfe Lцsungen entwickelt werden kцnnen, um von der Handschrift auf die Persцnlichkeit zu schlieГŸen, und es werden neuartige Ansдtze fГ1/4r die Stimmungsanalyse aufgezeigt, die mit ausreichenden Daten und verschiedenen Betrachtungsweisen untermauert sind.

Dieses Buch enthдlt nicht nur theoretische Ansдtze und Algorithmen, sondern zeigt auch auf, welche Schritte bei der Problemanalyse mithilfe von Daten, Prozessen, Berichten und Optimierungstechniken durchlaufen werden. Es ist ein umfassendes Nachschlagewerk fГ1/4r die Lцsung verschiedener Probleme anhand von Algorithmen fГ1/4r das maschinelle Lernen.

Computational Intelligence and Healthcare Informatics

Автор: Jena Om Prakash, Tripathy Alok Ranjan, Elngar Ahmed A.
Название: Computational Intelligence and Healthcare Informatics
ISBN: 1119818680 ISBN-13(EAN): 9781119818687
Издательство: Wiley
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Цена: 29613.00 р.
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Описание: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS

The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis.

Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments.

This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis.

Audience

The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.


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