Leveraging Biomedical and Healthcare Data Book

Leveraging Biomedical and Healthcare Data


  • Author : Firas Kobeissy
  • Publisher : Academic Press
  • Release Date : 2018-11-23
  • Genre: Medical
  • Pages : 225
  • ISBN 10 : 9780128095614

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Leveraging Biomedical and Healthcare Data Excerpt :

Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field Provides demonstrative and relevant examples that serve as a general tutorial Presents a list of algorithm names and computational tools available for basic and clinical researchers

Leveraging Data Science for Global Health Book

Leveraging Data Science for Global Health


  • Author : Leo Anthony Celi
  • Publisher : Springer Nature
  • Release Date : 2020-07-31
  • Genre: Medical
  • Pages : 475
  • ISBN 10 : 9783030479947

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Leveraging Data Science for Global Health Excerpt :

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

An Examination of Emerging Bioethical Issues in Biomedical Research Book

An Examination of Emerging Bioethical Issues in Biomedical Research


  • Author : National Academies of Sciences, Engineering, and Medicine
  • Publisher : National Academies Press
  • Release Date : 2020-09-10
  • Genre: Medical
  • Pages : 132
  • ISBN 10 : 9780309676632

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An Examination of Emerging Bioethical Issues in Biomedical Research Excerpt :

On February 26, 2020, the Board on Health Sciences Policy of the National Academies of Sciences, Engineering, and Medicine hosted a 1-day public workshop in Washington, DC, to examine current and emerging bioethical issues that might arise in the context of biomedical research and to consider research topics in bioethics that could benefit from further attention. The scope of bioethical issues in research is broad, but this workshop focused on issues related to the development and use of digital technologies, artificial intelligence, and machine learning in research and clinical practice; issues emerging as nontraditional approaches to health research become more widespread; the role of bioethics in addressing racial and structural inequalities in health; and enhancing the capacity and diversity of the bioethics workforce. This publication summarizes the presentations and discussions from the workshop.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Book

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics


  • Author : Sunil Kumar Dhal
  • Publisher : John Wiley & Sons
  • Release Date : 2022-05-20
  • Genre: Computers
  • Pages : 352
  • ISBN 10 : 9781119792352

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Excerpt :

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Communication and Computing Systems Book

Communication and Computing Systems


  • Author : B.M.K. Prasad
  • Publisher : CRC Press
  • Release Date : 2019-10-22
  • Genre: Computers
  • Pages : 624
  • ISBN 10 : 9780429814594

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Communication and Computing Systems Excerpt :

The International Conference on Communication and Computing Systems (ICCCS 2018) provides a high-level international forum for researchers and recent advances in the field of electronic devices, computing, big data analytics, cyber security, quantum computing, biocomputing, telecommunication, etc. The aim of the conference was to bridge the gap between the technological advancements in the industry and the academic research.

Applied Computer Sciences in Engineering Book

Applied Computer Sciences in Engineering


  • Author : Juan Carlos Figueroa-García
  • Publisher : Springer Nature
  • Release Date : 2021-09-29
  • Genre: Computers
  • Pages : 526
  • ISBN 10 : 9783030867027

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Applied Computer Sciences in Engineering Excerpt :

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellín, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.

Mild Traumatic Brain Injury Book

Mild Traumatic Brain Injury


  • Author : Mark A. Mentzer
  • Publisher : CRC Press
  • Release Date : 2020-10-26
  • Genre: Technology & Engineering
  • Pages : 132
  • ISBN 10 : 9781000207675

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Mild Traumatic Brain Injury Excerpt :

Mild traumatic brain injury (mTBI), directly related to chronic traumatic encephalopathy, presents a crisis in contact sports, the military, and public health. Mild Traumatic Brain Injury: A Science and Engineering Perspective reviews current understanding of mTBI, methods of diagnosis, treatment, policy concerns, and emerging technologies. It details the neurophysiology and epidemiology of brain injuries by presenting disease models and descriptions of nucleating events, characterizes sensors, imagers, and related diagnostic measures used for evaluating and identifying brain injuries, and relates emerging bioinformatics analysis with mTBI markers. The book goes on to discuss issues with sports medicine and military issues; covers therapeutic strategies, surgeries, and future developments; and finally addresses drug trials and candidates for therapy. The broad coverage and accessible discussions will appeal to professionals in diverse fields related to mTBI, students of neurology, medicine, and biology, as well as policy makers and lay persons interested in this hot topic. Features Summarizes the entire scope of the field of mTBI Details the neurophysiology, epidemiology, and presents disease models and descriptions of nucleating events Characterizes sensors, imagers, and related diagnostic measures and relates emerging bioinformatics analysis with mTBI markers Discusses issues with sports medicine and military issues Covers therapeutic strategies, surgeries, and future developments and addresses drug trials and candidates Dr Mark Mentzer earned his PhD in Electrical Engineering from the University of Delaware. He is a former research scientist at the US Army Research Laboratory where he studied mild traumatic brain injury and developed early-detection brain injury helmet sensors. He is a certified test director and contracting officer representative. He possesses two Level-III Defense Acquisition University Certifications in Science and Technology Management and in

Strategies to Leverage Research Funding Book

Strategies to Leverage Research Funding


  • Author : Institute of Medicine
  • Publisher : National Academies Press
  • Release Date : 2004-11-27
  • Genre: Medical
  • Pages : 192
  • ISBN 10 : 9780309092777

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Strategies to Leverage Research Funding Excerpt :

Since 1992 the Department of Defense (DOD), through the U.S. Army Medical Research and Material Command, has received congressionally earmarked appropriations for programs of biomedical research on prostate, breast, and ovarian cancer; neurofibromatosis; tuberous sclerosis; and other health problems. Appropriations for these Congressionally Directed Medical Research Programs are used to support peer reviewed extramural research project, training, and infrastructure grants. Congress has become concerned about funding increases for these programs given current demands on the military budget. At the request of Congress, the Institute of Medicine (IOM) examined possibilities of augmenting program funding from alternative sources. The resulting IOM book, Strategies to Leverage Research Funding: Guiding DOD's Peer Reviewed Medical Research Programs, focuses on nonfederal and private sector contributions that could extend the appropriated funds without biasing the peer review project selection process.

Health Informatics Vision  From Data via Information to Knowledge Book

Health Informatics Vision From Data via Information to Knowledge


  • Author : J. Mantas
  • Publisher : IOS Press
  • Release Date : 2019-08-06
  • Genre: Medical
  • Pages : 420
  • ISBN 10 : 9781614999874

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Health Informatics Vision From Data via Information to Knowledge Excerpt :

The latest developments in data, informatics and technology continue to enable health professionals and informaticians to improve healthcare for the benefit of patients everywhere. This book presents full papers from ICIMTH 2019, the 17th International Conference on Informatics, Management and Technology in Healthcare, held in Athens, Greece from 5 to 7 July 2019. Of the 150 submissions received, 95 were selected for presentation at the conference following review and are included here. The conference focused on increasing and improving knowledge of healthcare applications spanning the entire spectrum from clinical and health informatics to public health informatics as applied in the healthcare domain. The field of biomedical and health informatics is examined in a very broad framework, presenting the research and application outcomes of informatics from cell to population and exploring a number of technologies such as imaging, sensors, and biomedical equipment, together with management and organizational aspects including legal and social issues. Setting research priorities in health informatics is also addressed. Providing an overview of the latest developments in health informatics, the book will be of interest to all those working in the field.

Signal Processing and Machine Learning for Biomedical Big Data Book

Signal Processing and Machine Learning for Biomedical Big Data


  • Author : Ervin Sejdic
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Genre: Medical
  • Pages : 606
  • ISBN 10 : 9781351061216

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Signal Processing and Machine Learning for Biomedical Big Data Excerpt :

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

Theory and Practice of Business Intelligence in Healthcare Book

Theory and Practice of Business Intelligence in Healthcare


  • Author : Khuntia, Jiban
  • Publisher : IGI Global
  • Release Date : 2019-12-27
  • Genre: Medical
  • Pages : 322
  • ISBN 10 : 9781799823117

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Theory and Practice of Business Intelligence in Healthcare Excerpt :

Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare. Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.

dHealth 2020     Biomedical Informatics for Health and Care Book

dHealth 2020 Biomedical Informatics for Health and Care


  • Author : G. Schreier
  • Publisher : IOS Press
  • Release Date : 2020-06-24
  • Genre: Medical
  • Pages : 292
  • ISBN 10 : 9781643680859

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dHealth 2020 Biomedical Informatics for Health and Care Excerpt :

Successful digital healthcare depends on the effective flow of a complete chain of information; from the sensor, via multiple steps of processing, to the actuator, which can be anything from a human healthcare professional to a robot. Along this pathway, methods for automating the processing of information, like signal processing, machine learning, predictive analytics and decision support, play an increasing role in providing actionable information and supporting personalized and preventive healthcare concepts in both biomedical and digital healthcare systems and applications. ICT systems in healthcare and biomedical systems and devices are very closely related, and in the future they will become increasingly intertwined. Indeed, it is already often difficult to delineate where the one ends and the other begins. This book presents the intended proceedings of the dHealth 2020 annual conference on the general topic of health Informatics and digital health, which was due to be held in Vienna, Austria, on 19 and 20 May 2020, but which was cancelled due to the COVID-19 pandemic. The decision was nevertheless taken to publish these proceedings, which include the 40 papers which would have been delivered at the conference. The special topic for the 2020 edition of the conference was Biomedical Informatics for Health and Care. The book provides an overview of current developments in health informatics and digital health, and will be of interest to researchers and healthcare practitioners alike.

Big Data in Psychiatry and Neurology Book

Big Data in Psychiatry and Neurology


  • Author : Ahmed A. Moustafa
  • Publisher : Academic Press
  • Release Date : 2021-06-24
  • Genre: Medical
  • Pages : 384
  • ISBN 10 : 9780128230022

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Big Data in Psychiatry and Neurology Excerpt :

Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics

PHealth 2016 Book

PHealth 2016


  • Author : N. Maglaveras
  • Publisher : IOS Press
  • Release Date : 2016-06-16
  • Genre: Computers
  • Pages : 224
  • ISBN 10 : 9781614996538

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PHealth 2016 Excerpt :

Smart mobile systems, eHealth and telemedicine, as well as social media and gamification, have all become important enablers for the provision of the next generation of health services. This book presents the proceedings of the 13th International Conference on Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2016), held in Heraklion, Crete, in May 2016. pHealth 2016 brings together experts from medical, technological, political, administrative, legal and social domains with the aim of further emphasizing the integration of biology and medical data, systems and information using mobile technologies. The book includes two keynotes and two specially invited talks as well as 21 oral and 10 poster presentations selected by a rigorous review process (with a rejection rate of more than 30%) from the more than 45 submissions to the conference. The book is divided into two sections. The first covers mHealth, devices, applications and biosensors and the second deals with smart personal health systems, deep learning, interoperability and precision medicine. Subjects covered include the development of micro-, nano-, bio- and smart-systems with an emphasis on personalized health, virtual care, precision medicine, big bio data management and analytics, as well as security, privacy and safety issues. This book will be of interest to all those whose work involves the provision of healthcare, both today and into the future.

MEDINFO 2019  Health and Wellbeing e Networks for All Book

MEDINFO 2019 Health and Wellbeing e Networks for All


  • Author : L. Ohno-Machado
  • Publisher : IOS Press
  • Release Date : 2019-11-12
  • Genre: Medical
  • Pages : 2076
  • ISBN 10 : 9781643680033

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MEDINFO 2019 Health and Wellbeing e Networks for All Excerpt :

Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics.