June 17, 2021

Download Ebook Free Leveraging Biomedical And Healthcare Data

Leveraging Biomedical and Healthcare Data

Leveraging Biomedical and Healthcare Data
Author : Firas Kobeissy,Kevin Wang,Fadi A. Zaraket,Ali Alawieh
Publisher : Academic Press
Release Date : 2018-11-23
Category : Medical
Total pages :225
GET BOOK

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

Leveraging Data Science for Global Health
Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer Nature
Release Date : 2020-10-01
Category : Medical
Total pages :475
GET BOOK

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.

The Healthcare Mandate: How to Leverage Disruptive Innovation to Heal America’s Biggest Industry

The Healthcare Mandate: How to Leverage Disruptive Innovation to Heal America’s Biggest Industry
Author : Nicholas Webb
Publisher : McGraw Hill Professional
Release Date : 2020-09-08
Category : Business & Economics
Total pages :240
GET BOOK

A top healthcare futurist and consultant shows healthcare professionals and stakeholders how to redirect resources and leverage innovation to improve wellness and lower costs. Despite being the wealthiest nation on earth, the United States spends much of its healthcare money and resources pursuing the wrong goal: curing people after they get sick. In this provocative book, Nicholas J. Webb charts a bold new path that puts the focus not on reactionary treatment but on anticipation and prevention. Webb argues that we have a unique opportunity to leverage disruptive innovation to fulfill these goals. Emerging digital technologies now make it possible to collect, analyze, and act upon the enormous quantities of health-related data that every individual generates every day. This data often foreshadows disease and can alert the healthcare provider to the existence of a life-threatening condition before there are any outward symptoms, thereby enabling caregivers to pivot from treatment after the fact to anticipation, prevention, and, when necessary, reduced treatment to correct a smaller problem. This is The Healthcare Mandate—a powerful and illuminating guide to the new tools that healthcare professionals can start using right now to: See their clients not only as patients to be cured but as constituents to keep healthy. Identify and respond to emerging health problems as early as possible. Access and share constituent data with other healthcare providers. Navigate the increasingly complex world of patient data rights. Meet the challenge of non-medical online healthcare providers. Address constituent lifestyle choices that lead to obesity, diabetes, and heart disease. Respond to the increasing consumerization of healthcare. Drawing upon his decades of experience as an industry expert with dozens of medical patents, Webb offers a positive and achievable vision for the future of healthcare.

Health Data in the Information Society

Health Data in the Information Society
Author : György Surján,Rolf Engelbrecht,Peter McNair
Publisher : Unknown
Release Date : 2002
Category : Medical informatics
Total pages :847
GET BOOK

Strategies in Biomedical Data Science

Strategies in Biomedical Data Science
Author : Jay A. Etchings
Publisher : John Wiley & Sons
Release Date : 2017-01-03
Category : Medical
Total pages :464
GET BOOK

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

Translational Informatics

Translational Informatics
Author : Philip R.O. Payne,Peter J. Embi
Publisher : Springer
Release Date : 2014-08-23
Category : Medical
Total pages :185
GET BOOK

Integrative and translational methodologies and frameworks have transformed modern biomedical research and the delivery of clinical care. This shift has been manifested in a number of ways, including the rapid growth and increasing availability of high-throughput bio-molecular instrumentation and analysis platforms, innovative clinical research programs intended to accelerate knowledge translation, and initial efforts to deliver personalized healthcare informed by the genomic profiles of patients. A common theme of reports and publications concerned with such transformative changes in the biomedical and healthcare domains is concerned with the challenges and opportunities related to the collection, management, integration, analysis, and dissemination of large-scale, heterogeneous biomedical data sets. In particular, the absence of well-established and adopted theoretical and practical frameworks intended to address such needs is a major impediment to the realization of translational and knowledge-driven healthcare, in which the best possible scientific evidence is used to inform the care of every patient. In this vacuum, the development of integrative clinical or translational research paradigms is significantly limited by the propagation of both data and expertise silos. This book details for the first time the current state of this extremely potent area of healthcare innovation and policy and defines the interaction between clinical/translational science and biomedical informatics.​

Leveraging Longitudinal Data in Developing Countries

Leveraging Longitudinal Data in Developing Countries
Author : National Research Council,Division of Behavioral and Social Sciences and Education,Committee on Population,Workshop on Leveraging Longitudinal Data in Developing Countries Committee
Publisher : National Academies Press
Release Date : 2002-07-13
Category : Social Science
Total pages :114
GET BOOK

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.

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Big Data Analysis for Bioinformatics and Biomedical Discoveries
Author : Shui Qing Ye
Publisher : CRC Press
Release Date : 2016-01-13
Category : Mathematics
Total pages :274
GET BOOK

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.

Data Science for Healthcare

Data Science for Healthcare
Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Release Date : 2019-03-22
Category : Computers
Total pages :367
GET BOOK

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

American Book Publishing Record

American Book Publishing Record
Author : Anonim
Publisher : Unknown
Release Date : 2003
Category : American literature
Total pages :129
GET BOOK

Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains

Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains
Author : Collin Engstrom
Publisher : Unknown
Release Date : 2019
Category :
Total pages :113
GET BOOK

In recent decades, escalating healthcare costs have drawn the attention of providers and policymakers. These increased expenditures are often due to inefficiencies in patient care, a dilemma that has catalyzed new approaches to healthcare. Key among these are new avenues for leveraging electronic health record (EHR) data. In particular, applying machine learning methods to biomedical and clinical needs has shown remarkable promise. These techniques often present challenges that must be addressed, however. This dissertation discusses certain guiding principles we have gleaned from our own work in applying predictive machine learning models. In aggregate, these principles of machine learning used in the biomedical and healthcare domains can be taken as guiding principles for other researchers seeking to design and implement similar models. Moving forward, considering these observations and those gained from other applications will be an important tool in not only advancing strictly academic work, but also in tackling the cost and efficiency concerns that currently beset healthcare in the US.

Biomedical Engineering Fundamentals, Third Edition

Biomedical Engineering Fundamentals, Third Edition
Author : Myer Kutz
Publisher : McGraw Hill Professional
Release Date : 2021-10-22
Category : Technology & Engineering
Total pages :736
GET BOOK

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Fully updated fundamental biomedical engineering principles and technologies This state-of-the-art resource offers unsurpassed coverage of fundamental concepts that enable advances in the field of biomedical engineering. Biomedical Engineering Fundamentals, Third Edition, contains all the information you need to improve efficacy and efficiency in problem solving, no matter how simple or complex the problem. Thoroughly revised by experts across the biomedical engineering discipline, this hands-on guide provides the foundational knowledge required for the development of innovative devices, techniques, and treatments. Coverage includes: Modeling of biomedical systems and heat transfer applications Physical and flow properties of blood Respiratory mechanics and gas exchange Respiratory muscles, human movement, and the musculoskeletal system Electromyography and muscle forces Biopolymers, biomedical composites, and bioceramics Cardiovascular, dental, and orthopedic biomaterials Tissue regeneration and regenerative medicine Bioelectricity, biomedical signal analysis, and biosensors Neural engineering and electrical stimulation of nervous systems Causes of medical device failure and FDA requirements Cardiovascular, respiratory, and artificial kidney devices Infrared and ultrasound imaging, MRIs, and nuclear medicine Imaging, laser Doppler, and fetal and optical monitoring Computer-integrated surgery and medical robotics Intelligent assistive technology and rehabilitators Artificial limbs, hip and knee replacement, and sensory augmentation Healthcare systems engineering and medical informatics Hospital information systems and computer-based patient records Sterile medical device package development

A Paradigm Shift in Health Care Information Systems

A Paradigm Shift in Health Care Information Systems
Author : Christopher G. Chute
Publisher : Unknown
Release Date : 1998
Category : Medical care
Total pages :1155
GET BOOK

Using Client Outcomes Information to Improve Mental Health and Substance Abuse Treatment

Using Client Outcomes Information to Improve Mental Health and Substance Abuse Treatment
Author : Donald M. Steinwachs
Publisher : Jossey-Bass Incorporated Pub
Release Date : 1996
Category : Social Science
Total pages :136
GET BOOK

The ultimate criterion for judging the quality of health care is that it lead to positive health outcomes that are valued by the consumer, the payer, and society. Traditionally outcomes assessment has focused on mortality and complications, but neither of these has been particularly useful in examining results of mental health care. A new way of assessing outcomes of care is the measurement of health status across its multiple dimensions of physical, mental, and social domains of functioning, with additional measures of quality of life and satisfaction with health outcomes experienced. The chapters in this volume were commissioned by the Outcomes Roundtable from leaders in mental health outcomes research and application to examine critically the state of the science of outcomes measurement in mental health and substance abuse care.

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
Author : MIT Critical Data
Publisher : Springer
Release Date : 2016-09-09
Category : Medical
Total pages :427
GET BOOK

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.