Health Data Processing

Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption of large masses of genetic data and its related problems. This book develops the methodological and conceptual aspects related to these issues. Proposes a methodology for the development of health information systems for the better use of digital technologies Illustrates a systemic, transversal, conceptual vision that supports the complex reality of the healthcare world, where the interoperability of agents (professionals and software) is central Discusses the reuse of resources of data for knowledge improvement, health security and public health

Produk Detail:

  • Author : Marius Fieschi
  • Publisher : Elsevier
  • Pages : 340 pages
  • ISBN : 0081027583
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKHealth Data Processing

Health Data Processing

Health Data Processing
  • Author : Marius Fieschi
  • Publisher : Elsevier
  • Release : 13 July 2018
GET THIS BOOKHealth Data Processing

Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption

Data and Text Processing for Health and Life Sciences

Data and Text Processing for Health and Life Sciences
  • Author : Francisco M. Couto
  • Publisher : Springer
  • Release : 10 June 2019
GET THIS BOOKData and Text Processing for Health and Life Sciences

This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard

Health Data Privacy under the GDPR

Health Data Privacy under the GDPR
  • Author : Maria Tzanou
  • Publisher : Routledge
  • Release : 24 November 2020
GET THIS BOOKHealth Data Privacy under the GDPR

The growth of data-collecting goods and services, such as ehealth and mhealth apps, smart watches, mobile fitness and dieting apps, electronic skin and ingestible tech, combined with recent technological developments such as increased capacity of data storage, artificial intelligence and smart algorithms, has spawned a big data revolution that has reshaped how we understand and approach health data. Recently the COVID-19 pandemic has foregrounded a variety of data privacy issues. The collection, storage, sharing and analysis of health- related data

Health Data in the Information Age

Health Data in the Information Age
  • Author : Institute of Medicine,Committee on Regional Health Data Networks
  • Publisher : National Academies Press
  • Release : 01 January 1994
GET THIS BOOKHealth Data in the Information Age

Regional health care databases are being established around the country with the goal of providing timely and useful information to policymakers, physicians, and patients. But their emergence is raising important and sometimes controversial questions about the collection, quality, and appropriate use of health care data. Based on experience with databases now in operation and in development, Health Data in the Information Age provides a clear set of guidelines and principles for exploiting the potential benefits of aggregated health data--without jeopardizing

Intelligent Data Sensing and Processing for Health and Well-being Applications

Intelligent Data Sensing and Processing for Health and Well-being Applications
  • Author : Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco
  • Publisher : Academic Press
  • Release : 26 July 2018
GET THIS BOOKIntelligent Data Sensing and Processing for Health and Well-being Applications

Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and

Big Data in Medical Image Processing

Big Data in Medical Image Processing
  • Author : R. Suganya,S. Rajaram,A. Sheik Abdullah
  • Publisher : CRC Press
  • Release : 29 January 2018
GET THIS BOOKBig Data in Medical Image Processing

The field of medical imaging seen rapid development over the last two decades and has consequently revolutionized the way in which modern medicine is practiced. Diseases and their symptoms are constantly changing therefore continuous updating is necessary for the data to be relevant. Diseases fall into different categories, even a small difference in symptoms may result in categorising it in a different group altogether. Thus analysing data accurately is of critical importance. This book concentrates on diagnosing diseases like cancer

High-Performance Modelling and Simulation for Big Data Applications

High-Performance Modelling and Simulation for Big Data Applications
  • Author : Joanna Kołodziej,Horacio González-Vélez
  • Publisher : Springer
  • Release : 25 March 2019
GET THIS BOOKHigh-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of

Anonymizing Health Data

Anonymizing Health Data
  • Author : Khaled El Emam,Luk Arbuckle
  • Publisher : "O'Reilly Media, Inc."
  • Release : 11 December 2013
GET THIS BOOKAnonymizing Health Data

Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it anonymous without compromising data quality is tricky. This book demonstrates techniques for handling different data

Biostatistics and Computer-based Analysis of Health Data Using SAS

Biostatistics and Computer-based Analysis of Health Data Using SAS
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 22 June 2017
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data Using SAS

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice

Big Data on Real-World Applications

Big Data on Real-World Applications
  • Author : Sebastian Ventura Soto,José Luna,Alberto Cano
  • Publisher : BoD – Books on Demand
  • Release : 20 July 2016
GET THIS BOOKBig Data on Real-World Applications

As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields including medicine, education data, and recommender systems. The aim of this book is to provide the reader with a variety of fields and systems where the analysis and management of

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Author : MIT Critical Data
  • Publisher : Springer
  • Release : 06 July 2018
GET THIS BOOKSecondary Analysis of Electronic Health Records

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

Security and Privacy for Mobile Healthcare Networks

Security and Privacy for Mobile Healthcare Networks
  • Author : Kuan Zhang,Xuemin (Sherman) Shen
  • Publisher : Springer
  • Release : 09 November 2015
GET THIS BOOKSecurity and Privacy for Mobile Healthcare Networks

This book examines state-of-art research on designing healthcare applications with the consideration of security and privacy. It explains the Mobile Healthcare Network (MHN) architecture and its diverse applications, and reviews the existing works on security and privacy for MHNs. Critical future challenges and research problems are also identified. Using a Quality-of-Protection perspective, the authors provide valuable insights on security and privacy preservation for MHNs. Some promising solutions are proposed to accommodate the issues of secure health data transmission, misbehavior detection,

Biostatistics and Computer-based Analysis of Health Data using Stata

Biostatistics and Computer-based Analysis of Health Data using Stata
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 06 September 2016
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data using Stata

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of