Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals


Book Description

Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains the step-by-step of collecting and treating research data in a didactic manner. The book discusses four freely available data capture tools whose common feature is data collection and entry being done simultaneously rather than separately, thus saving resources and minimizing potential errors. It highlights the comparative features of each data capture tool, helping readers to understand the advantage and disadvantage of each one to decide which tool can be used to fulfill their needs.This is a valuable resource for researchers, students, and members of the biomedical and medical fields who need to learn more about data mining and management to improve the quality of their research work. - Explains how to use open electronic data capture tools to collect and treat research data - Describes step-by-step how to use these tools with practical examples in illustrative manner by using screenshots, tables, and flow charts for easy understanding - Presents the content in a didactic manner to facilitate real-world applicability for any research need




Flow Architectures


Book Description

Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams Understand the value chain for flow integration through Wardley mapping visualization and promise theory modeling Walk through basic concepts behind today's event-driven systems marketplace Learn how today's integration patterns will influence the real-time events flow in the future Explore why companies should architect and build software today to take advantage of flow in coming years




Modern Epidemiology


Book Description

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.




Registries for Evaluating Patient Outcomes


Book Description

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.




Analysis of Capture-Recapture Data


Book Description

An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the mortality and size of the populations. Capture-rec




GIS


Book Description

Today, few texts offer a comprehensive overview of geographic information systems (GIS). The literature common in academic circles is highly technical and pays little attention to the role GIS plays as a tool in the planning and shaping of society and the world around us. The contributors to this book feel strongly about the potential inherent in the concepts and methodologies that make up a GIS. Similarly, the contributors are aware of the limitations of the uniformly technical and structural approach that dominates discussions about GIS in many professional circles. This book is a guide and an educational, easy-to-understand journey that introduces the concepts and methodologies that lie behind today's GIS. It makes GIS both more familiar and more relevant to a far broader section of the professional circles which plan, organize, and shape our surroundings.




Data-Oriented Programming


Book Description

Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging




Wörterbuch der Elektronik, Datentechnik, Telekommunikation und Medien


Book Description

Since the first edition was published, new technologies have emerged, especially in the area of convergence of computing and communications, accompanied by a lot of new technical terms. This third expanded and updated edition has been adaptetd to cope with this situation. The number of entries has been incremented by 35%. This dictionary offers a valuable guide to navigate through the entanglement of German and English terminology. The lexicographic concept (indication of the subject field for every term, short definitions, references to synonyms, antonyms, general and derivative terms) has been maintained, as well as the tabular layout.




Implementing IBM InfoSphere Change Data Capture for DB2 z/OS V6.5


Book Description

IBM® InfoSphereTM Change Data Capture for z/OS® uses log-based change data capture technology to provide low impact capture and rapid delivery of changes to and from DB2® z/OS in heterogeneous environments without impacting source systems. Customers get the up-to-date information they need to make actionable, trusted business decisions while optimizing MIPS costs. Change Data Capture can also be used to synchronize data in real time between multiple data environments to support active data warehousing, live reporting, operational business intelligence, application consolidations and migrations, master data management, and to deliver data to SOA environments. This IBM RedpaperTM document describes InfoSphere Change Data Capture, how to install and configure it, and how to migrate to the latest release.




Innovations In GIS


Book Description

This book aims to offer research at the cutting edge. The individual chapters are fully revised and updated versions of contributions to the first focused scientific symposium on research in geographic information systems GISRUK. The book provides the reader with a comprehensive outline of the full range and diversity of innovative research programmes in the science of GIS. Chapters address key issues such as computational support; spatial analysis and error; and application and implementation.