lecture gratuite Developing Clinical Data Warehousing: For Assisting Decision Making Livres Ebook, PDF Epub
Developing Clinical Data Warehousing: For Assisting Decision Making
Description Developing Clinical Data Warehousing: For Assisting Decision Making. The clinical database keeps records on patients; the data is collected during the regular day-to-day events of the hospital. This data may be used for financial reporting, management, or for monitoring and evaluation. Due to the existing system, there are several problems that includes: the monitoring of the impact of specific disease such as diabetes mellitus is very difficult, also the study of the effect of medical processes is very difficult, and moreover, for a hospital in an academic environment, with this situation, physicians and researcher's time is wasted by having to collect information that may be used to discover the relationships between different diseases such as the relationship between DM and other diseases. The objective of this book is to develop a Clinical Data Warehousing for analyzing diabetic patient's data. On Line Analytical Processing used as a method of analysis, it represents the data in terms of cube and the user or analyst can rotate this cube to see it from different side and this help in making decision in an effective way.
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Data Warehousing Tutorial - Tutorialspoint ~ A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries and decision making. This tutorial adopts a step-by-step approach to explain all the necessary concepts of data warehousing. Audience . This tutorial will help computer science graduates to understand the basic-to-advanced concepts related .
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Data Warehousing - Concepts - Tutorialspoint ~ Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations.
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Clinical Data - Data Resources in the Health Sciences ~ Clinical data is a staple resource for most health and medical research. Clinical data is either collected during the course of ongoing patient care or as part of a formal clinical trial program. Clinical data falls into six major types: Electronic health records; Administrative data; Claims data; Patient / Disease registries; Health surveys
What is Data Warehousing and Why is it Important? ~ Cloud-based technology has revolutionized the business world, allowing companies to easily retrieve and store valuable data about their customers, products and employees. This data is used to inform important business decisions.Many global corporations have turned to data warehousing to organize data that streams in from corporate branches and operations centers around the world. It’s .
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