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    data abstruction

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    WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i

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    Data Mining

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    Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular

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    Comparative Data

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    Associate Level Material Comparative Data Resource: Ch. 14 of Health Care Finance Complete the following table by writing responses to the questions. Cite the sources in the text and list them at the bottom of the table. What criterion must be met for true comparability? | For true comparability‚ consistency‚ verification and unit measurement must be met. Consistency is vital to make sure that all things are done in the same manner throughout the same time period. Verification is

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    Data Dictionary

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    What Is A Data Dictionary? Per the IBM Dictionary of Computing‚ a data dictionary is a "centralized repository of information about data such as meaning‚ relationships to other data‚ origin‚ usage‚ and format." Essentially‚ it is documentation or data about data in a file or database‚ also called metadata. Typical Items In A Data Dictionary For each field or column in a database table‚ describe the following elements: Item Contents File/Table Name The name of the file or table where

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    INFRASTRUCTURE AND LEVEL OF IMPLEMENTATION OF HOSPITAL INFORMATION SYSTEM IN ATERTIARY TEACHING HOSPITAL” By Dr. KARTHIK POTLAPALLY Dissertation submitted to the Rajiv Gandhi University of Health Sciences‚ Karnataka‚ Bangalore In partial fulfillment of the requirements for the degree of MASTERS IN HOSPITAL ADMINISTRATION Under the Guidance of DR. NARENDRANATH .V MD (HOSPITAL ADMINISTRATION) PROFESSOR & HEAD DEPARTMENT OF HOSPITAL ADMINISTRATION M.S.RAMAIAH MEDICAL COLLEGE BANGALORE-560054

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    Data Structures

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    Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what

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    psychiatric hospitals have been used in America as an approach to control the mentally ill. As a matter of fact‚ “psychiatric hospitals‚ also known as mental hospitals and mental asylums‚ are hospital or wards specializing in the treatment of serious psychiatric illnesses” (“Psychiatric Hospitals”). Although the very first psychiatric hospital in the world was opened in 705 AD by Muslims in Baghdad‚ the first in America was not established until the late 18th century. These hospitals served as places

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    Aravind Eye Hospital

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    Aravind Eye Hospital – Case Study Exhibit 4 – Historical Patient Statistics(Consolidated) Year | Paying(screening visits) | Paying(surgery) | Free and Camp(screening visits) | Free and Camp(surgery) | 1976 | - | 248 | - | - | 1977 | 15‚381 | 980 | 2‚366 | - | 1978 | 15‚781 | 1‚320 | 18‚251 | 1‚045 | 1979 | 19‚687 | 1‚612 | 47‚351 | 2‚430 | 1980 | 31‚334 | 2‚511 | 65‚344 | 5‚427 | 1981 | 39‚470 | 3‚139 | 75‚727 | 8‚172 | 1982 | 46‚435 | 4‚216 | 79‚367 | 8‚747 | 1983 | 56‚540 |

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    Data Integrity

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    Types of Data Integrity This section describes the rules that can be applied to table columns to enforce different types of data integrity. Null Rule A null rule is a rule defined on a single column that allows or disallows inserts or updates of rows containing a null (the absence of a value) in that column. Unique Column Values A unique value rule defined on a column (or set of columns) allows the insert or update of a row only if it contains a unique value in that column (or set of columns)

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    Data Processing

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    240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding

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