The Basics of Data Mining in Healthcare An Annotated Bibliography
نویسنده
چکیده
“In this article we propose an approach for a decision support system (DSS) based on Knowledge Discovery from Databases (KDD). In such system, user must be involved throughout the decision-making process. In consequence we propose the integration of a Human–Computer Interaction (HCI) model into the development of DSS process based on KDD. The approach we propose is based on two systems development methods—the Unified Process (UP) from Software Engineering and the U model from HCI. In this article, we describe our combined approach (UP/U) and the way we used it to develop a DSS in a medical field.” Annotation: This is a very long and complex article, primarily about Decision Support Systems (DSS), but it details how they would use data mining to feed the DSS. The article uses many abbreviations and acronyms without always defining them the first time they are used, which can be confusing. For example, they discuss nosocomial infections as “NI” before defining what it was. What is useful about this article is its emphasis on involving the user at all points of the process, from preparing the data for data mining to designing reports from the DSS. Search Strategy: Keyword searching Database: Web of Science (Web of Knowledge) Search String: TS=(“data mining” OR kdd OR “knowledge discovery”) AND TS=(healthcare OR “health care”) Scholarly/Refereed Status: Ulrichs lists this as an academic/scholarly journal and it is refereed. The Basics of Data Mining in Healthcare
منابع مشابه
پیشنهاد چارچوبی نو برای کتابشناسی توصیفی- تحلیلی با تأکید بر دیدگاه انتقادی
Purpose: composing and formulating bibliography is key activity in scientific area. It is necessary to conduct this activity on the basis of an organized and coherent framework in order to prevent wasting time and cost, unwillingness of audiences, incoherency of book description/analysis structure, and imperfect evaluation. Since the lack of such tool to formulation of bibliographies is evident...
متن کاملData Mining: A Novel Outlook to Explore Knowledge in Health and Medical Sciences
Today medical and Healthcare industry generate loads of diverse data about patients, disease diagnosis, prognosis, management, hospitals’ resources, electronic patient health records, medical devices and etc. Using the most efficient processing and analyzing method for knowledge extraction is a key point to cost-saving in clinical decision making. Data mining, sometimes called data or knowledge...
متن کاملUsing Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach
Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors coupled with data mining knowledge. This paper presents a model developed using combined descri...
متن کاملSulphide absorbing gas cleaning in the basics of ethanolamines and formaldehyde
Raw material of heavy oil and gas deposits, developed in per Caspian lowland (Orenburg, Astrakhan, Tengiz, Zanazol), is characterized by high content of acid components (H2S, CO2) and sulphoorganic compounds. Under such circumstances the importance of industrial mining and development of new, economical and wasteless technologies, providing full and experienced usage of all raw compounds being ...
متن کامل