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: 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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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.

Leveraging Longitudinal Data in Developing Countries Book

Leveraging Longitudinal Data in Developing Countries

  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 2002-07-13
  • Genre: Social Science
  • Pages : 113
  • ISBN 10 : 9780309084505
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Longitudinal data collection and analysis are critical to social, demographic, and health research, policy, and practice. They are regularly used to address questions of demographic and health trends, policy and program evaluation, and causality. Panel studies, cohort studies, and longitudinal community studies have proved particularly important in developing countries that lack vital registration systems and comprehensive sources of information on the demographic and health situation of their populations. Research using data from such studies has led to scientific advances and improvements in the well-being of individuals in developing countries. Yet questions remain about the usefulness of these studies relative to their expense (and relative to cross-sectional surveys) and about the appropriate choice of alternative longitudinal strategies in different contexts. For these reasons, the Committee on Population convened a workshop to examine the comparative strengths and weaknesses of various longitudinal approaches in addressing demographic and health questions in developing countries and to consider ways to strengthen longitudinal data collection and analysis. This report summarizes the discussion and opinions voiced at that workshop.

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 : 133
  • ISBN 10 : 9780309676632
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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.

Leveraging Technology as a Response to the COVID Pandemic Book

Leveraging Technology as a Response to the COVID Pandemic

  • Author : Harry P. Pappas
  • Publisher : CRC Press
  • Release Date : 2022-12-30
  • Genre: Medical
  • Pages : 215
  • ISBN 10 : 9781000810745
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In 2019 the world was struck with the Coronavirus (COVID-19) infecting major portions of the world’s population. There were no vaccines or treatments available to help mitigate the disease or offer a cure. The world's health systems were inundated with massive numbers of patients with varying ranges of symptoms, acuity, and levels of criticality. The world's healthcare organizations soon found themselves in an unmanageable situation, directly impacting the ability to manage patients across the entire healthcare environment. Most healthcare institutions had plans for emergency preparedness and procedures to deal with temporary crises, none of which were effective against the impact of COVID-19. COVID-19 was a highly contagious disease, resulting in high volumes of admissions with long lengths of stay. The virus quickly overwhelmed institutions with large patient volumes, resulting in shortages of patient beds, medical equipment, personal protective devices, cleaning agents, and other critical supplies. Hospital operations were further impacted by staff shortages due to exposure, resulting contagion, the shutdown of transit systems, and responsibilities at home due to school and business closures. This timely and important book describes the impact on the hospital ability to provide patient care and how healthcare institutions leveraged diverse technology solutions to combat the impact of COVID-19 on providing patient care. The authors also discuss implementation of these technology solutions and the many lessons learned of how healthcare institutions can enhance their emergency preparedness in the future from the COVID experience. The authors would like to acknowledge, thank, and dedicate this book to the hundreds of thousands of healthcare workers around the world who spent countless hours and put their own lives and families lives at risk to help patients though this pandemic.

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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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.

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 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.

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 : 534
  • ISBN 10 : 9783030867027
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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 (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 : 193
  • ISBN 10 : 9780309092777
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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.

Big Data Analytics in Healthcare Book

Big Data Analytics in Healthcare

  • Author : Anand J. Kulkarni
  • Publisher : Springer Nature
  • Release Date : 2019-10-01
  • Genre: Technology & Engineering
  • Pages : 187
  • ISBN 10 : 9783030316723
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This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Leveraging Structure and Knowledge in Clinical and Biomedical Representation Learning Book

Leveraging Structure and Knowledge in Clinical and Biomedical Representation Learning

  • Author : Matthew Brian Andrew McDermott
  • Publisher : Unknown
  • Release Date : 2022
  • Genre: Uncategoriezed
  • Pages : 0
  • ISBN 10 : OCLC:1353214876
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Datasets in the machine learning for health and biomedicine domain are often noisy, irregularly sampled, only sparsely labeled, and small relative to the dimensionality of the both the data and the tasks. These problems motivate the use of representation learning in this domain, which encompasses a variety of techniques designed to produce representations of a dataset that are amenable to downstream modelling tasks. Representation learning in this domain can also take advantage of the significant external knowledge in the biomedical domain. In this thesis, I will explore novel pre-training and representation learning strategies for biomedical data which leverage external structure or knowledge to inform learning at both local and global scales. These techniques will be explored in 4 chapters: (1) leveraging unlabeled data to infer distributional constraints in a semi-supervised learning setting; (2) using graph convolutional neural networks over gene-gene co-regulatory networks to improve modelling of gene expression data; (3) adapting pre-training techniques from natural language processing to electronic health record data, and showing that novel methods are needed for electronic health record timeseries data; and (4) asserting global structure in pre-training applications through structure-inducing pre-training.

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 : 1151
  • ISBN 10 : 9781351061216
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Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, coverin

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 : 422
  • ISBN 10 : 9781614999874
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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.