Healthcare Transformation With Informatics And Artificial Intelligence

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Healthcare Transformation with Informatics and Artificial Intelligence

J. Mantas,P. Gallos,E. Zoulias
Healthcare Transformation with Informatics and Artificial Intelligence Book PDF

Author : J. Mantas,P. Gallos,E. Zoulias
Publisher : IOS Press
Page : 700 pages
File Size : 45,8 Mb
Release : 2023-07-27
Category : Medical
ISBN : 9781643684017

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Healthcare Transformation with Informatics and Artificial Intelligence by J. Mantas,P. Gallos,E. Zoulias Pdf

Artificial intelligence (AI) is once again in the news, with many major figures urging caution as developments in the technology accelerate. AI impacts all aspects of our lives, but perhaps the discipline of Biomedical Informatics is more affected than most, and is an area where the possible pitfalls of the technology might have particularly serious consequences. This book presents the papers delivered at ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2023. The ICIMTH conferences form a series of scientific events which offers a platform for scientists working in the field of biomedical and health informatics from all continents to gather and exchange research findings and experience. The title of the 2023 conference was Healthcare Transformation with Informatics and Artificial Intelligence, reflecting the importance of AI to healthcare informatics. A total of 252 submissions were received by the Program Committee, of which 149 were accepted as full papers, 13 as short communications, and 14 as poster papers after review. The papers cover a wide range of technologies, and topics include imaging, sensors, biomedical equipment, and management and organizational aspects, as well as legal and social issues. The book provides a timely overview of informatics and technology in healthcare during this time of extremely fast developments, and will be of interest to all those working in the field.

Demystifying Big Data and Machine Learning for Healthcare

Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Demystifying Big Data and Machine Learning for Healthcare Book PDF

Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publisher : CRC Press
Page : 233 pages
File Size : 44,8 Mb
Release : 2017-02-15
Category : Medical
ISBN : 9781315389301

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Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz Pdf

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Demystifying Big Data and Machine Learning for Healthcare

Prashant Natarajan,John C. Frenzel,Detlev Herb Smaltz
Demystifying Big Data and Machine Learning for Healthcare Book PDF

Author : Prashant Natarajan,John C. Frenzel,Detlev Herb Smaltz
Publisher : CRC Press
Page : 210 pages
File Size : 51,6 Mb
Release : 2017
Category : Business & Economics
ISBN : 1315389320

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Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev Herb Smaltz Pdf

Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcareinvestigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V's that matter in healthcare and why Harmonize the 4 C's across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Artificial Intelligence for Innovative Healthcare Informatics

Shabir Ahmad Parah,Mamoon Rashid,Vijayakumar Varadarajan
Artificial Intelligence for Innovative Healthcare Informatics Book PDF

Author : Shabir Ahmad Parah,Mamoon Rashid,Vijayakumar Varadarajan
Publisher : Springer Nature
Page : 320 pages
File Size : 45,9 Mb
Release : 2022-05-23
Category : Medical
ISBN : 9783030965693

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Artificial Intelligence for Innovative Healthcare Informatics by Shabir Ahmad Parah,Mamoon Rashid,Vijayakumar Varadarajan Pdf

There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Carmela Comito,Agostino Forestiero,Ester Zumpano
Integrating Artificial Intelligence and IoT for Advanced Health Informatics Book PDF

Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer Nature
Page : 188 pages
File Size : 46,7 Mb
Release : 2022-02-10
Category : Technology & Engineering
ISBN : 9783030911812

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics by Carmela Comito,Agostino Forestiero,Ester Zumpano Pdf

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Informatics Empowers Healthcare Transformation

J. Mantas,A. Hasman,G. Gallos
Informatics Empowers Healthcare Transformation Book PDF

Author : J. Mantas,A. Hasman,G. Gallos
Publisher : IOS Press
Page : 304 pages
File Size : 44,8 Mb
Release : 2017-08-03
Category : Medical
ISBN : 9781614997818

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Informatics Empowers Healthcare Transformation by J. Mantas,A. Hasman,G. Gallos Pdf

Biomedical Informatics is now indispensible in modern healthcare, and the field covers a very broad spectrum of research and application outcomes, ranging from cell to population, and including a number of technologies such as imaging, sensors, and biomedical equipment, as well as management and organizational subjects. This book presents 65 full papers and two keynote speeches from the 2017 edition of the International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2017), held in Athens, Greece in July 2017. The papers are grouped in three chapters, and cover a wide range of topics, reflecting the current scope of Biomedical Informatics. In essence, Biomedical Informatics empowers the transformation of healthcare, and the book will be of interest to researchers, providers and healthcare practitioners alike.

Computational Intelligence and Healthcare Informatics

Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Computational Intelligence and Healthcare Informatics Book PDF

Author : Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 42,6 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9781119818687

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Computational Intelligence and Healthcare Informatics by Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski Pdf

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.

Innovation in Health Informatics

Miltiadis Lytras,Akila Sarirete
Innovation in Health Informatics Book PDF

Author : Miltiadis Lytras,Akila Sarirete
Publisher : Academic Press
Page : 441 pages
File Size : 52,5 Mb
Release : 2019-11-13
Category : Medical
ISBN : 9780128190449

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Innovation in Health Informatics by Miltiadis Lytras,Akila Sarirete Pdf

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Applying Business Intelligence to Clinical and Healthcare Organizations

Machado, José,Abelha, António
Applying Business Intelligence to Clinical and Healthcare Organizations Book PDF

Author : Machado, José,Abelha, António
Publisher : IGI Global
Page : 347 pages
File Size : 52,6 Mb
Release : 2016-02-10
Category : Computers
ISBN : 9781466698833

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Applying Business Intelligence to Clinical and Healthcare Organizations by Machado, José,Abelha, António Pdf

Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices. Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

Deep Learning in Biomedical and Health Informatics

M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari
Deep Learning in Biomedical and Health Informatics Book PDF

Author : M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari
Publisher : CRC Press
Page : 224 pages
File Size : 43,8 Mb
Release : 2021-09-26
Category : Computers
ISBN : 9781000429084

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Deep Learning in Biomedical and Health Informatics by M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari Pdf

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. In short, the volume : Discusses the relationship between AI and healthcare, and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA. Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal. Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

Digital Transformation in Healthcare 5.0

Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry
Digital Transformation in Healthcare 5 0 Book PDF

Author : Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry
Publisher : Walter de Gruyter GmbH & Co KG
Page : 480 pages
File Size : 49,6 Mb
Release : 2024-05-20
Category : Computers
ISBN : 9783111399119

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Digital Transformation in Healthcare 5.0 by Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry Pdf

The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.

Next Generation Healthcare Informatics

B. K. Tripathy,Pawan Lingras,Arpan Kumar Kar,Chiranji Lal Chowdhary
Next Generation Healthcare Informatics Book PDF

Author : B. K. Tripathy,Pawan Lingras,Arpan Kumar Kar,Chiranji Lal Chowdhary
Publisher : Springer Nature
Page : 320 pages
File Size : 44,6 Mb
Release : 2022-06-06
Category : Technology & Engineering
ISBN : 9789811924163

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Next Generation Healthcare Informatics by B. K. Tripathy,Pawan Lingras,Arpan Kumar Kar,Chiranji Lal Chowdhary Pdf

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.

Transformation in Healthcare with Emerging Technologies

Pushpa Singh,Divya Mishra,Kirti Seth
Transformation in Healthcare with Emerging Technologies Book PDF

Author : Pushpa Singh,Divya Mishra,Kirti Seth
Publisher : CRC Press
Page : 370 pages
File Size : 52,5 Mb
Release : 2022-04-27
Category : Computers
ISBN : 9781000554076

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Transformation in Healthcare with Emerging Technologies by Pushpa Singh,Divya Mishra,Kirti Seth Pdf

The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations. Features: • Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry • Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry • Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry • Includes several case studies It is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

Healthcare and Artificial Intelligence

Bernard Nordlinger,Cédric Villani,Daniela Rus
Healthcare and Artificial Intelligence Book PDF

Author : Bernard Nordlinger,Cédric Villani,Daniela Rus
Publisher : Springer Nature
Page : 275 pages
File Size : 43,9 Mb
Release : 2020-03-17
Category : Technology & Engineering
ISBN : 9783030321611

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Healthcare and Artificial Intelligence by Bernard Nordlinger,Cédric Villani,Daniela Rus Pdf

This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

Machine Learning in Healthcare Informatics

Sumeet Dua,U. Rajendra Acharya,Prerna Dua
Machine Learning in Healthcare Informatics Book PDF

Author : Sumeet Dua,U. Rajendra Acharya,Prerna Dua
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 52,5 Mb
Release : 2013-12-09
Category : Technology & Engineering
ISBN : 9783642400179

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Machine Learning in Healthcare Informatics by Sumeet Dua,U. Rajendra Acharya,Prerna Dua Pdf

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.