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Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,6 Mb
Release : 2015
Category : Electronic
ISBN : 1466688130
Author : Karâa, Wahiba Ben Abdessalem
Publisher : IGI Global
Page : 335 pages
File Size : 51,7 Mb
Release : 2015-11-03
Category : Medical
ISBN : 9781466688124
Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
Author : Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham
Publisher : John Wiley & Sons
Page : 450 pages
File Size : 48,5 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781119711261
BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.
Author : Luca Mesin
Publisher : MDPI
Page : 116 pages
File Size : 48,5 Mb
Release : 2021-05-26
Category : Technology & Engineering
ISBN : 9783036503462
Biomedical image processing is an interdisciplinary field involving a variety of disciplines, e.g., electronics, computer science, physics, mathematics, physiology, and medicine. Several imaging techniques have been developed, providing many approaches to the study of the human body. Biomedical image processing is finding an increasing number of important applications in, for example, the study of the internal structure or function of an organ and the diagnosis or treatment of a disease. If associated with classification methods, it can support the development of computer-aided diagnosis (CAD) systems, which could help medical doctors in refining their clinical picture.
Author : Ma, Ronald
Publisher : IGI Global
Page : 265 pages
File Size : 41,8 Mb
Release : 2018-07-20
Category : Medical
ISBN : 9781522550839
Hospital funding plays an important role in strengthening healthcare and medical resources. Utilizing comprehensive costing systems to accommodate clinical and financial data leads to improved patient care both clinically and financially. Clinical Costing Techniques and Analysis in Modern Healthcare Systems provides innovative insights into the connections between statistical information and financial systems within clinical settings. The content within this publication delves into business intelligence, clinical decision making, and electronic health records. It is geared towards medical practitioners and professionals, hospital administrators, and researchers seeking valuable insights centered on clinical variations of healthcare data as well as the role of information systems in linking productivity and performance management.
Author : Chintan Bhatt,Nilanjan Dey,Amira S. Ashour
Publisher : Springer
Page : 388 pages
File Size : 44,9 Mb
Release : 2017-01-01
Category : Technology & Engineering
ISBN : 9783319497365
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.
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2081 pages
File Size : 52,7 Mb
Release : 2016-07-18
Category : Medical
ISBN : 9781522505723
Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.
Author : Bird, Jennifer Lynne
Publisher : IGI Global
Page : 241 pages
File Size : 41,5 Mb
Release : 2021-09-24
Category : Medical
ISBN : 9781799890539
Millions of people experience stress in their lives, and this is even more prevalent in the aftermath of the COVID-19 pandemic. Whether this stress stems from a job loss or a fear of sickness from working with the public, stress has reigned throughout the pandemic. However, stress is more complicated than being simply a “bad feeling.” Stress can impact both mental and physical wellbeing. Using Narrative Writing to Enhance Healing During and After Global Health Crises is a critical reference that discusses therapeutic writing and offers it as a simple solution for those who are at the highest risk of poor health. This book covers multiple writing narratives on diverse topics and how they aid with stress after the COVID-19 pandemic. Including topics such as anxiety, health coaching, and leadership, this book is essential for teachers, community leadership, physical and emotional therapists, healthcare workers, teachers, faculty of both K-12 and higher education, members of church communities, students, academicians, and any researchers interested in using writing as a healing process.
Author : Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publisher : CRC Press
Page : 340 pages
File Size : 44,7 Mb
Release : 2018-10-25
Category : Computers
ISBN : 9781351030373
Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.
Author : Taukeni, Simon George
Publisher : IGI Global
Page : 214 pages
File Size : 48,6 Mb
Release : 2021-01-22
Category : Medical
ISBN : 9781799844150
Different levels in health sciences, in particular public health, have acknowledged the significant role of epidemiology methods for early detection of emerging infections, alert systems, and preparedness interventions. Therefore, it is important to understand how epidemiological research is conducted and how it can be used at various levels to make exposure or incidence data on a general population available. In this, epidemiological research connected to both human and technology interactions is of primary importance. Epidemiological Research Applications for Public Health Measurement and Intervention provides relevant theoretical frameworks and the latest empirical research findings in the field of epidemiology. The chapters within this essential reference source enhance the knowledge of epidemiological research and measurement to investigate, detect, and monitor emerging pathological infections. While highlighting topics that include the history of epidemiology; the applications of epidemiology; and also the uses, principles, and roles of epidemiology, this book is ideally intended for professionals and researchers working in the field of health sciences in various disciplines and government officials, policymakers, practitioners, stakeholders, researchers, academicians, and students who are interested in epidemiological research and measurement for increasing the effectiveness of public health practice.
Author : Demiroz, Erdem,Waldman, Steven D.
Publisher : IGI Global
Page : 291 pages
File Size : 43,9 Mb
Release : 2018-11-30
Category : Medical
ISBN : 9781522562900
In today's educational settings, infusing technology into educational practices is not optional. It is a necessity because of the changing expectations and needs of learners. In a fast-paced environment such as the medical profession, it is critical that future healthcare professionals have access to the most advanced training environments and resources. Optimizing Medical Education With Instructional Technology is an essential reference that reports on technology-supported medical education. It introduces the best practices in 21st century learning approaches. This book, in addition to looking at medical education through the lens of instructional technologies, features research on topics such as the ethics of online education, mentoring research, and technology in the clinical setting. This book is designed for medical educators, instructional designers, researchers, practitioners, and academicians.
Author : Pradhan, Chittaranjan,Das, Himansu,Naik, Bighnaraj,Dey, Nilanjan
Publisher : IGI Global
Page : 414 pages
File Size : 46,7 Mb
Release : 2018-04-13
Category : Computers
ISBN : 9781522551539
Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.
Author : L.C. Jain,X. Zhao,V.E. Balas
Publisher : IOS Press
Page : 226 pages
File Size : 41,5 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9781643680613
Intelligent transport systems, from basic management systems to more application-oriented systems, vary in the technologies they apply. Information technologies, including wireless communication, are important in intelligent transportation systems, as are computational technologies: floating car data/floating cellular data, sensing technologies, and video vehicle detection. Theoretical and application technologies, such as emergency vehicle notification systems, automatic road enforcement and collision avoidance systems, as well as some cooperative systems are also used in intelligent transportation systems. This book presents papers selected from the 128 submissions in the field of information technology and intelligent transportation systems received from 5 countries. In December 2019 Chang’an University organized a round-table meeting to discuss and score the technical merits of each selected paper, of which 23 are included in this book. Providing a current overview of the subject, the book will be of interest to all those working in the field of intelligent transportation systems and traffic management.
Author : Nilanjan Dey,Sanjeev Wagh,Parikshit N. Mahalle,Mohd. Shafi Pathan
Publisher : CRC Press
Page : 225 pages
File Size : 48,7 Mb
Release : 2019-05-20
Category : Computers
ISBN : 9780429804571
The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications
Author : Musiolik, Thomas Heinrich,Dingli, Alexiei
Publisher : IGI Global
Page : 242 pages
File Size : 54,8 Mb
Release : 2021-10-01
Category : Medical
ISBN : 9781799878896
Improving quality of life is one of the main advantages of integrating new innovations into medicine. New technologies are revolutionizing medicine and opening new opportunities for patients, doctors, clinics, and companies. The patient's well-being is monitored autonomously by smartphones, digital medical records simplify everyday clinical work, virtual reality is used for treatment, and robots help in the operating room. The new technological possibilities in healthcare not only change patients’ lives, but also the work of doctors, clinics, and companies. In the fields of healthcare and medicine, new technologies can be used for patient communication, health monitoring, or for the treatment of patients, and modern research is devoted to advancing and understanding these technologies. Ethical Implications of Reshaping Healthcare With Emerging Technologies includes the most up-to-date research in the fields of healthcare and medicine worldwide, provides answers to the forms of treatment that are already possible in medicine, and illuminates the future possibilities that are already being researched. In addition, today's knowledge is translated and shown in how new technologies such as autonomous VR-system can be used for pain reduction as part of a treatment. Finally, this book examines the ethical guidelines in healthcare and medicine that are associated with the rapid development of these technologies. This book will be useful for the healthcare industry, hospital administration, the health insurance industry, doctors, healthcare workers, business professionals, IT specialists, medical software designers, scientists, practitioners, researchers, academicians, and students looking for the latest information on the use of emerging technologies in healthcare settings.
