"Lists reports and translations added . September 1961 to February 1963." ; "A bibliography of reports listed in . U.S. Government research reports and Technical translations." ; Mode of access: Internet.
Front Cover -- Dedication -- Health Data Processing: Systemic Approaches -- Copyright -- Contents -- Preface -- Introduction -- Memorization of information intended for a single category of actors or a single specialty is of little added value -- The complexity of human activity cannot find satisfactory answers in siloed systems -- Confronting the heterogeneity of data and systems -- Reusing data is necessary and provides high added value -- Design and implementation of flexible information systems -- Modeling as a way of responding to issues of flexibility -- Modeling to develop -- Principles for analyzing and implementing flexible information systems -- Current implementation of these principles -- Strategic alignment of information systems is confirmed but all too often not achieved -- 1. Understanding the Fundamental Nature of Information and its Processing -- 1.1. Introduction -- 1.2. Data, knowledge and information -- 1.3. Data structures -- 1.4. Data models -- 1.5. Qualities that make information valuable -- 1.6. Improving the quality of data -- 1.7. Uses of patient data -- 1.8. Processing information, applications, components and processes -- 2. A Few Questions on Information Sharing -- 2.1. Introduction -- 2.2. Twelve questions for better defining sharing and its objectives -- 2.3. Organization of information sharing is a prerequisite of technological choice -- 2.4. Summary and conclusion -- 3. The Place of Healthcare Delivery Processes in Information Systems -- 3.1. Introduction -- 3.2. The concept of the process -- 3.3. Modeling and the presentation of processes -- 3.4. Processes and procedures -- 3.5. Interests and limitations of the process-based approach -- 3.6. Conclusion -- 4. The Quality of the Urbanization of the Information System is Central to its Performance -- 4.1. Introduction
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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Mode of access: Internet. ; Vol. 1-4, no. 9 issued by Michigan State Library; v. 4, no. 10- v. 5, no. 10, by the State Library Division; v. 5, no. 11-v. 8, no. 10/11, by the Bureau of Library Services; v. 8, no. 12- by the State Library Services.
Also known as: The Grace report. ; Report represents the results of the Automated Data Processing/Office Automation Task Force of the President's Private Sector Survey on Cost Control. ; "Approved by the subcommittee for the full executive committee, spring-fall 1983." ; Mode of access: Internet.