2016 Ieee International Conference On Healthcare Informatics

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Innovation in Health Informatics

Author : Miltiadis Lytras
Publisher : Academic Press
ISBN 13 : 0128190442
Total Pages : 441 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Innovation in Health Informatics by : Miltiadis Lytras

Download or read book Innovation in Health Informatics written by Miltiadis Lytras and published by Academic Press. This book was released on 2019-11-13 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Fifth International Conference on Safety and Security with IoT

Author : Anand Nayyar
Publisher : Springer Nature
ISBN 13 : 3030942856
Total Pages : 211 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis The Fifth International Conference on Safety and Security with IoT by : Anand Nayyar

Download or read book The Fifth International Conference on Safety and Security with IoT written by Anand Nayyar and published by Springer Nature. This book was released on 2022-06-11 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2021), which took place online. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.

PHealth 2018

Author : B. Blobel
Publisher : IOS Press
ISBN 13 : 161499868X
Total Pages : 234 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis PHealth 2018 by : B. Blobel

Download or read book PHealth 2018 written by B. Blobel and published by IOS Press. This book was released on 2018-06-05 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart mobile systems, such as microsystems, smart textiles, smart implants, and sensor-controlled medical devices, together with innovative sensor and actuator techniques and related networks, have become important enablers for telemedicine and a new generation of health services. Social media and gamification have added even more knowledge to pHealth as an ecosystem. This book presents the proceedings of pHealth 2018. Held in Gjøvik, Norway, in June 2018, this is the 15th in a series of scientific conferences which have brought together expertise from medical, technological, political, administrative, and social domains, and even from philosophy or linguistics. Initiated in 2003 as part of a European project, the scope of these conferences now encompasses technological and biomedical facilities, legal, ethical, social, and organizational requirements and impacts, as well as necessary basic research for enabling future-proof care paradigms. The conferences thereby combine medical services with public health, preventive medicine, social and elderly care, wellness and personal fitness to establish participatory, predictive, personalized, preventive, and effective care settings. The book includes 1 of the 2 keynotes presented at the conference, 4 invited talks, 16 oral presentations, and 7 short poster presentations. All submissions were carefully and critically reviewed by at least two independent experts, and this selective review process resulted in a full papers rejection rate of 50%.

Machine Learning Techniques for Assistive Robotics

Author : Miguel Angel Cazorla Quevedo
Publisher : MDPI
ISBN 13 : 3039363387
Total Pages : 210 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Machine Learning Techniques for Assistive Robotics by : Miguel Angel Cazorla Quevedo

Download or read book Machine Learning Techniques for Assistive Robotics written by Miguel Angel Cazorla Quevedo and published by MDPI. This book was released on 2020-12-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Author : Carmela Comito
Publisher : Springer Nature
ISBN 13 : 3030911810
Total Pages : 188 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Artificial Intelligence and IoT for Advanced Health Informatics by : Carmela Comito

Download or read book Integrating Artificial Intelligence and IoT for Advanced Health Informatics written by Carmela Comito and published by Springer Nature. This book was released on 2022-02-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI and Big Data’s Potential for Disruptive Innovation

Author : Strydom, Moses
Publisher : IGI Global
ISBN 13 : 1522596895
Total Pages : 427 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis AI and Big Data’s Potential for Disruptive Innovation by : Strydom, Moses

Download or read book AI and Big Data’s Potential for Disruptive Innovation written by Strydom, Moses and published by IGI Global. This book was released on 2019-09-27 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Trends and Innovations in Information Systems and Technologies

Author : Álvaro Rocha
Publisher : Springer Nature
ISBN 13 : 3030456978
Total Pages : 619 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Trends and Innovations in Information Systems and Technologies by : Álvaro Rocha

Download or read book Trends and Innovations in Information Systems and Technologies written by Álvaro Rocha and published by Springer Nature. This book was released on 2020-05-17 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 2020 World Conference on Information Systems and Technologies (WorldCIST’20), held in Budva, Montenegro, from April 7 to 10, 2020. WorldCIST provides a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences with and challenges regarding various aspects of modern information systems and technologies. The main topics covered are A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Computational Intelligence and Healthcare Informatics

Author : Om Prakash Jena
Publisher : John Wiley & Sons
ISBN 13 : 1119818699
Total Pages : 434 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Innovative Computing and Communications

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 9819741521
Total Pages : 633 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Innovative Computing and Communications by : Aboul Ella Hassanien

Download or read book Innovative Computing and Communications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Challenges of the Internet of Things

Author : Imad Saleh
Publisher : John Wiley & Sons
ISBN 13 : 1119549582
Total Pages : 201 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Challenges of the Internet of Things by : Imad Saleh

Download or read book Challenges of the Internet of Things written by Imad Saleh and published by John Wiley & Sons. This book was released on 2018-10-08 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will examine the issues of IoT according to three complementary axes: technique, use, ethics. The techniques used to produce artefacts (physical objects, infrastructures), programs (algorithms, software) and data (Big data, linked data, metadata, ontologies) are the subject of many innovations as the field of IoT is rich and stimulating. Along with this technological boom, IoT uses colonize new fields of application in the fields of transport, administration, housing, maintenance, health, sports, well-being. ... Privileged interface with digital ecosystems now at the heart of social exchanges, the IoT develops a power to act whose consequences both good and bad make it difficult to assess a fair business.

Health Information Science

Author : Yan Li
Publisher : Springer Nature
ISBN 13 : 981997108X
Total Pages : 379 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Health Information Science by : Yan Li

Download or read book Health Information Science written by Yan Li and published by Springer Nature. This book was released on 2023-11-11 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.

Biocomputing 2021 - Proceedings Of The Pacific Symposium

Author : Russ B Altman
Publisher : World Scientific
ISBN 13 : 9811232717
Total Pages : 380 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Biocomputing 2021 - Proceedings Of The Pacific Symposium by : Russ B Altman

Download or read book Biocomputing 2021 - Proceedings Of The Pacific Symposium written by Russ B Altman and published by World Scientific. This book was released on 2020-11-24 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Pacific Symposium on Biocomputing (PSB) 2021 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2021 will be held on a virtual platform at psb.stanford.edu/ on January 5-7, 2021. Tutorials and workshops will be offered prior to the start of the conference.PSB 2021 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Synthetic Data for Deep Learning

Author : Sergey I. Nikolenko
Publisher : Springer Nature
ISBN 13 : 3030751783
Total Pages : 348 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Synthetic Data for Deep Learning by : Sergey I. Nikolenko

Download or read book Synthetic Data for Deep Learning written by Sergey I. Nikolenko and published by Springer Nature. This book was released on 2021-06-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. The book can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. The book includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field. In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, the book discusses fundamental computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. The book introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.

Dimensions of Intelligent Analytics for Smart Digital Health Solutions

Author : Nilmini Wickramasinghe
Publisher : CRC Press
ISBN 13 : 1003849725
Total Pages : 297 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Dimensions of Intelligent Analytics for Smart Digital Health Solutions by : Nilmini Wickramasinghe

Download or read book Dimensions of Intelligent Analytics for Smart Digital Health Solutions written by Nilmini Wickramasinghe and published by CRC Press. This book was released on 2024-03-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare. This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area. This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

Recent Developments in Smart Healthcare

Author : Wenbing Zhao
Publisher : MDPI
ISBN 13 : 303842644X
Total Pages : 363 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Recent Developments in Smart Healthcare by : Wenbing Zhao

Download or read book Recent Developments in Smart Healthcare written by Wenbing Zhao and published by MDPI. This book was released on 2018-03-23 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Smart Healthcare" that was published in Applied Sciences

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

Author : Igor V. Tetko
Publisher : Springer Nature
ISBN 13 : 3030305082
Total Pages : 749 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Machine Learning, Big Data, and IoT for Medical Informatics

Author : Pardeep Kumar
Publisher : Academic Press
ISBN 13 : 0128217812
Total Pages : 460 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning, Big Data, and IoT for Medical Informatics by : Pardeep Kumar

Download or read book Machine Learning, Big Data, and IoT for Medical Informatics written by Pardeep Kumar and published by Academic Press. This book was released on 2021-06-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. - Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. - Includes several privacy preservation techniques for medical data. - Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. - Offers case studies and applications relating to machine learning, big data, and health care analysis.