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Author : Wai-Tat Fu,Larry Hodges,Kai Zheng,Gregor Štiglic,Ann Blandford
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 2016
Category : Electronic
ISBN : 1509061177
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 47,9 Mb
Release : 2016
Category : Bioinformatics
ISBN : OCLC:956658647
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 45,6 Mb
Release : 2016-02-24
Category : Electronic
ISBN : 1509024565
The IEEE International Conference on Biomedical and Health Informatics (BHI) is a special topic conference of IEEE Engineering in Medicine and Biology Society (IEEE EMBS) BHI2016 is co located with the Annual HIMSS Conference & Exhibition in Las Vegas, NV, USA The main theme of the BHI2016 is the Integrative informatics for precision and preventive medicine Advancing health informatics has been identified as a grand challenge for engineering in the 21st century by the National Academy of Engineering Maintaining and improving human health will require integrative and novel informatics solutions to better translate discovery into clinics, re engineer care practices, and integrate big data of various health networks The BHI2016 will provide a unique forum to showcase enabling technologies of computing, devices, imaging, sensors, and systems that optimize the acquisition, transmission, processing, storage, retrieval, visualization, analysis
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 49,6 Mb
Release : 2018-06-04
Category : Electronic
ISBN : 1538653788
Biomedical and health informatics
Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer Nature
Page : 188 pages
File Size : 40,6 Mb
Release : 2022-02-10
Category : Technology & Engineering
ISBN : 9783030911812
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.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 50,8 Mb
Release : 2018-06-04
Category : Electronic
ISBN : 1538667789
Biomedical and health informatics
Author : Anand Nayyar,Anand Paul,Sudeep Tanwar
Publisher : Springer Nature
Page : 211 pages
File Size : 54,9 Mb
Release : 2022-06-11
Category : Technology & Engineering
ISBN : 9783030942854
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.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 47,7 Mb
Release : 2017-08-23
Category : Electronic
ISBN : 1509048820
The ICHI series is the premier community forum concerned with the application of computer information science, informatics, and technology to address issues and support research in healthcare, medicine, life science, public health, and everyday wellness The conference highlights novel technical contributions in health informatics and their related social and ethical implications
Author : Miltiadis Lytras,Akila Sarirete
Publisher : Academic Press
Page : 441 pages
File Size : 42,6 Mb
Release : 2019-11-13
Category : Medical
ISBN : 9780128190449
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
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 43,8 Mb
Release : 2016
Category : Electronic
ISBN : 150903370X
Author : Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain
Publisher : MDPI
Page : 498 pages
File Size : 48,7 Mb
Release : 2020-06-17
Category : Medical
ISBN : 9783039363506
This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 43,5 Mb
Release : 2016
Category : Artificial intelligence
ISBN : OCLC:965455185
Author : Mrutyunjaya Panda,Satchidananda Dehuri,Manas Ranjan Patra,Prafulla Kumar Behera,George A. Tsihrintzis,Sung-Bae Cho,Carlos A. Coello Coello
Publisher : Springer Nature
Page : 438 pages
File Size : 48,6 Mb
Release : 2022-12-20
Category : Computers
ISBN : 9783031232336
This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022. The 31 full papers presented were thoroughly reviewed and selected from 78 submissions. They are divided in three tracks with the following topics: Intelligent Computing; Communications; and Machine Learning and Data Analytics.
Author : Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 180 pages
File Size : 49,8 Mb
Release : 2020-10-12
Category : Computers
ISBN : 9783110676129
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Author : Pardeep Kumar,Yugal Kumar,Mohamed A. Tawhid
Publisher : Academic Press
Page : 458 pages
File Size : 41,6 Mb
Release : 2021-06-13
Category : Computers
ISBN : 9780128217818
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.
