Case Based Reasoning

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

477). The problem being that with such massive amounts of data the “traditional research approaches” (Brennan & Bakken, 2015, p. 477) are not effective and new data management techniques are needed. The proposed hypothesis or key premise of this article was plainly stated “that nursing needs big data and big data needs nursing” (Brennan & Bakken, 2015, p.477). The article goes on to explain how they will support their claim by drawing parallels between traditional medical research and how data science will assist with the data analysis and help employ changes that are essential to the nursing

Case formulation is a theoretically based explanation of information obtained from assessment, which offers a hypothesis about the cause and nature of presenting problems. (Westmeyer 2003, Kuyken et al. 2005, 2012, Persons 2005).

Data Mining. It is the process of discovering interesting knowledge that are gathered and significant structures from large amounts of data stored in data warehouse or other information storage.

Data mining is another concept closely associated with large databases such as clinical data repositories and data warehouses. However data mining like several other IT concepts means different things to different people. Health care application vendors may use the term data mining when referring to the user interface of the data warehouse or data repository. They may refer to the ability to drill down into data as data mining for example. However more precisely used data mining refers to a sophisticated analysis tool that automatically dis­ covers patterns among data in a data store. Data mining is an advanced form of decision support. Unlike passive query tools the data mining analysis tool does not require the user to pose individual specific questions to the database. Instead this tool is programmed to look for and extract patterns, trends and rules. True data mining is currently used in the business community for market­ ing and predictive analysis (Stair & Reynolds, 2012). This analytical data mining is however not currently widespread in the health care community.

McGonigle, D., & Mastrian, K. (2012) Nursing informatics and the foundation of knowledge. (2nd ed.). Burlington, MA: Jones and Bartlett

Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few

Data mining uses computer-based technology to evaluate data in a database and identify different trends. Effective data mining helps researchers predict economic trends and pinpoint sales prospects. Data mining is stored in data warehouses, which are sophisticated customer databases that allow managers to combine data from several different organization functions.

Data mining can cause more problems than it worth. It can be a useful marketing tool for businesses, but at the risk of major privacy threats. If the results can include security issues, false information, and cause inefficiencies on both ends, then it needs to be considered and improved. With the proposed solutions, data mining can become more secure, a less of a misguided problem. The solutions are extremely reasonable, it is just a matter of the government and data mining companies putting in effort to make them

The client’s current symptomology of significant depressed mood, difficulties sleeping, and fatigue, mostly likely a result of a depressive disorder, which would account for these symptoms as clinical criteria. However, more information is required in order to give a proper diagnosis. The client’s depressed mood is maintained by his cognitive distortions, negative self-schema, and maladaptive coping mechanisms which aversively impacts his mood, sense of self, behavior, and physical state. The client also possesses cognitive distortions characterized by personalization. As evidenced by the client’s misattributing and internalizing negative stereotypes associated with his cultural background to his sense of

Data mining is a class of database applications that looks for hidden patterns in a group of data that can be

1) Data mining is a way for companies to develop business intelligence from their data to gain a better understanding of their customers and operations and to solve complex organizational problems.

DATA MINING: means searching and analyzing large masses of data to discover patterns and develop new information.

Data Mining, a sub-branch of computer science, involving statistics, methods and calculations to find patterns in large amount of data sets, and database systems. Generally, data mining is the process to examine data from different aspects and summarizing it into meaningful information. Data mining techniques depict actions and future trends, allowing any individual to make better and knowledge-driven decisions.[1][2]

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.