Leveraging Biomedical and Healthcare Data

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

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  • Author : Firas Kobeissy
  • Publisher : Academic Press
  • Pages : 225 pages
  • ISBN : 012809561X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKLeveraging 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 : 23 November 2018
GET THIS BOOKLeveraging Biomedical and Healthcare Data

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

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 : 31 July 2020
GET THIS BOOKLeveraging Data Science for Global Health

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

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics
  • Author : Sunil Kumar Dhal,Srinivas Prasad,Sudhir Kumar Mohapatra,Subhendu Kumar Pani
  • Publisher : John Wiley & Sons
  • Release : 20 May 2022
GET THIS BOOKBig Data Analytics and Machine Intelligence in Biomedical and Health Informatics

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

Communication and Computing Systems

Communication and Computing Systems
  • Author : B.M.K. Prasad,Karan Singh,Shyam S. Pandey,Richard O'Kennedy
  • Publisher : CRC Press
  • Release : 22 October 2019
GET THIS BOOKCommunication and Computing Systems

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.

An Examination of Emerging Bioethical Issues in Biomedical Research

An Examination of Emerging Bioethical Issues in Biomedical Research
  • Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Sciences Policy
  • Publisher : National Academies Press
  • Release : 10 September 2020
GET THIS BOOKAn Examination of Emerging Bioethical Issues in Biomedical Research

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,

Applied Computer Sciences in Engineering

Applied Computer Sciences in Engineering
  • Author : Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,Elvis Eduardo Gaona-García,Alvaro David Orjuela-Cañón
  • Publisher : Springer Nature
  • Release : 29 September 2021
GET THIS BOOKApplied Computer Sciences in Engineering

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

Mild Traumatic Brain Injury
  • Author : Mark A. Mentzer
  • Publisher : CRC Press
  • Release : 26 October 2020
GET THIS BOOKMild Traumatic Brain Injury

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

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence
  • Author : Ahmad, Muneer,Zaman, Noor
  • Publisher : IGI Global
  • Release : 01 April 2022
GET THIS BOOKEmpowering Sustainable Industrial 4.0 Systems With Machine Intelligence

The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for

Strategies to Leverage Research Funding

Strategies to Leverage Research Funding
  • Author : Institute of Medicine,Board on Health Sciences Policy,Medical Follow-Up Agency,Committee on Alternative Funding Strategies for DOD's Peer Reviewed Medical Research Programs
  • Publisher : National Academies Press
  • Release : 27 November 2004
GET THIS BOOKStrategies to Leverage Research Funding

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

Crossing the Global Quality Chasm

Crossing the Global Quality Chasm
  • Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Board on Global Health,Committee on Improving the Quality of Health Care Globally
  • Publisher : National Academies Press
  • Release : 27 January 2019
GET THIS BOOKCrossing the Global Quality Chasm

In 2015, building on the advances of the Millennium Development Goals, the United Nations adopted Sustainable Development Goals that include an explicit commitment to achieve universal health coverage by 2030. However, enormous gaps remain between what is achievable in human health and where global health stands today, and progress has been both incomplete and unevenly distributed. In order to meet this goal, a deliberate and comprehensive effort is needed to improve the quality of health care services globally. Crossing the Global Quality

On Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics

On Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics
  • Author : Xi Hang Cao
  • Publisher : Unknown Publisher
  • Release : 04 July 2022
GET THIS BOOKOn Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics

Representation Learning is ubiquitous in state-of-the-art machine learning workflow, including data exploration/visualization, data preprocessing, data model learning, and model interpretations. However, the majority of the newly proposed Representation Learning methods are more suitable for problems with a large amount of data. Applying these methods to problems with a limited amount of data may lead to unsatisfactory performance. Therefore, there is a need for developing Representation Learning methods which are tailored for problems with ``small data", such as, clinical and

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Author : Adam Bohr,Kaveh Memarzadeh
  • Publisher : Academic Press
  • Release : 21 June 2020
GET THIS BOOKArtificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its

Health Data in the Information Society

Health Data in the Information Society
  • Author : György Surján,Rolf Engelbrecht,Peter McNair
  • Publisher : IOS Press
  • Release : 04 July 2022
GET THIS BOOKHealth Data in the Information Society

MIE 2002 is the XVIIth international conference of the European Federation of Medical Informatics. Today, mankind builds up the information society, enabled by the underlying rapid development in computer technology. The significance of the spread of the internet is comparable to the significance of Gutenberg's invention. On one hand it both helps dissemination of data and knowledge and sharing of ideas. On the other hand the achievements may divide the society, as did non-literacy deprive many people from knowledge throughout centuries.

Federated Learning

Federated Learning
  • Author : Qiang Yang,Lixin Fan,Han Yu
  • Publisher : Springer Nature
  • Release : 25 November 2020
GET THIS BOOKFederated Learning

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data

Big Data Analytics in Healthcare

Big Data Analytics in Healthcare
  • Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
  • Publisher : Springer Nature
  • Release : 01 October 2019
GET THIS BOOKBig Data Analytics in Healthcare

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,