Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes


Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes
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Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes


Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes
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Author :
language : en
Publisher:
Release Date : 2015

Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.




Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes


Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes
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Author : Karâa, Wahiba Ben Abdessalem
language : en
Publisher: IGI Global
Release Date : 2015-11-03

Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes written by Karâa, Wahiba Ben Abdessalem and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-03 with Medical categories.


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.



Biomedical Data Mining For Information Retrieval


Biomedical Data Mining For Information Retrieval
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Author : Sujata Dash
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-06

Biomedical Data Mining For Information Retrieval written by Sujata Dash and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Computers categories.


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.



Signal And Image Processing Techniques For The Development Of Intelligent Healthcare Systems


Signal And Image Processing Techniques For The Development Of Intelligent Healthcare Systems
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Author : E. Priya
language : en
Publisher: Springer Nature
Release Date : 2020-09-21

Signal And Image Processing Techniques For The Development Of Intelligent Healthcare Systems written by E. Priya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-21 with Medical categories.


This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.



Biomedical Image Processing And Classification


Biomedical Image Processing And Classification
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Author : Luca Mesin
language : en
Publisher: MDPI
Release Date : 2021-05-26

Biomedical Image Processing And Classification written by Luca Mesin and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-26 with Technology & Engineering categories.


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.



Clinical Costing Techniques And Analysis In Modern Healthcare Systems


Clinical Costing Techniques And Analysis In Modern Healthcare Systems
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Author : Ma, Ronald
language : en
Publisher: IGI Global
Release Date : 2018-07-20

Clinical Costing Techniques And Analysis In Modern Healthcare Systems written by Ma, Ronald and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Medical categories.


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.



Internet Of Things And Big Data Technologies For Next Generation Healthcare


Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01

Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.


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.



Medical Imaging Concepts Methodologies Tools And Applications


Medical Imaging Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-07-18

Medical Imaging Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-18 with Medical categories.


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.



Using Narrative Writing To Enhance Healing During And After Global Health Crises


Using Narrative Writing To Enhance Healing During And After Global Health Crises
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Author : Bird, Jennifer Lynne
language : en
Publisher: IGI Global
Release Date : 2021-09-24

Using Narrative Writing To Enhance Healing During And After Global Health Crises written by Bird, Jennifer Lynne and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Medical categories.


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.



Medical Big Data And Internet Of Medical Things


Medical Big Data And Internet Of Medical Things
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Author : Aboul Ella Hassanien
language : en
Publisher: CRC Press
Release Date : 2018-10-25

Medical Big Data And Internet Of Medical Things written by Aboul Ella Hassanien and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-25 with Computers categories.


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.