healthcare data mining
The purpose of data mining, whether it’s being used in healthcare or business, is to identify useful and understandable patterns by analyzing large sets of data. These data patterns help predict industry or information trends, and then determine what to do about them
One of the most prominent examples of data mining use in health care is detection and prevention of fraud and abuse. In this area, data mining techniques involve establishing normal patterns, identifying unusual patterns of medical claims by health care providers (clinics, doctors, labs, etc).
Better health care with data mining
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This paper illustrates data mining will enable clinicians and managers to find valuable new patterns in data , leading to potential improvement of resource utilization and patient health . As the patterns are based on recent clinical practice, they represent the ultimate in evidence
Performance analysis of data mining classification techniques on public health care data
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Public health care includes preventing disease, increasing life span and upholding the health through organized efforts. A large amount of data is available related to healthcare. Different relevant hidden information can be extracted from the public healthcare data using
Data mining usage in health care management: literature survey and decision tree application
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Aim To show the benefits of data mining in health care management. In this example, we are going to show a way to raise awareness of women in terms of contraceptive methods they use (do not use). Methods Goal of the data mining analysis was to determine if there are
Overview applications of data mining in health care : the case study of Arusha region
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Data mining as one of many constituents of health care has been used intensively and extensively in many organizations around the globe as an efficient technique of finding correlations or patterns among dozens of fields in large relational databases to results into
Data mining and health care : techniques of application
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The issue of health care assumes prime importance for the society and is a significant indicator of social development. Health is clearly not the mere absence of disease but confers on a person or groups freedom from illness and the ability to realize ones potential
Different Mining Techniques for Health Care Data Case Study of Urine Analysis Test
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To make huge amounts of data that is produced by health care information systems useful and important to the potential, we apply knowledge discovery. This study considers urine analysis test results as an input data to different data mining techniques in order to discover
Application of Data Mining to Health Care
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Data mining has been used extensively in many fields like retail, e-business, marketing, etc. and has provided pioneering results. This paper presents the application of data mining in health care . The paper compares data mining with traditional statistics, gives some
Medical Data Mining Techniques for Health Care Systems
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Due to the sequence in the information technology, the prevalence of the healthcare organizations conserves their data electronically. Enormous progress in medical data leads to be scarce in the mining of well-informed in series from the mass data . There is a necessity
Analysis of Data Mining Techniques for Building Health Care Information System
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Data mining is a relatively new field of research whose major objective is to acquire knowledge from large amounts of data . In medical and health care areas, due to regulations and the availability of computers, a massive amount of data is becoming available. On the
How Can Data Mining Improve Health Care
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Building health care systems related-symptoms differ than estimated illness, can have a substantial impact on health . It is important for the clinician to recognize when symptoms/illness are related to the patients workplace, environment and even considered
Applications of Big Data Analytics and Data mining in Health care sector
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Data Mining is an ever growing field which is used to extract the hidden information using some special techniques and algorithms. Data mining is applied in important sectors like health care , customer relationship management, marketing, ecommerce, fraudulent
Data stream mining for health care application
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ECG is an electric signal which is generated from human heart. It is used for investigate some of abnormal heart function. Data stream mining plays a key role to analyze the continuous data . The effective and efficient analysis of this data in different forms becomes a
Application of Data Mining in Health Care
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Data mining is the process of selecting, exploring and modeling a large database in order to discover model and pattern that are unknown. Data mining refers to extracting knowledge from large amount of data . Real life data mining approaches are interesting because they
Decision Support System for Health Care Specialists: A Fuzzy Data Mining Approach.
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The Health Care sector is one of the most crucial and real world domains in the globe, with no assumptions being allowed in the actual databases. One of the most challenging tasks that is faced by this sector is to reduce costs while increasing the quality of services
Data Stream Mining Using Landmark Stream Model for Offline Data Streams: A Case Study of Health Care Unit.
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There exists much different kind of applications in data stream mining . Few main areas of applications include sensor networks, internet packet streams, web logs, medical data and many more. Data streams typically arrive in high speeds and change in data distributions. A
Data Mining Techniques in Health Care
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Health care field is a highly intense field as it deals with the all-important process of delivering or technically sound and logical services for the treatment of patients. In this regard, it becomes very important to collect and analyze health related data from various
Descriptive Data Modeling Technique in Data Mining for Health Care Data
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∎ Research Link An International Journal 125 ∎ Vol XIII (6) ∎ August 2014 ∎ 13 Descriptive Data modeling is the process by which a model is define or describe the property of an outcome. In many cases the model is define the basis of detection theory to try to describe the
Predictive Modeling Technique in Data Mining for Health Care Data
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Predictive modeling is the process by which a model is created or chosen to try to best predict the probability of an outcome. In many cases the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input
An intelligent model for privacy preserving data mining in health care sector
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A SURVEY ON HEALTH CARE DATA USING DATA MINING TECHNIQUES
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Data Mining is one of the most motivating area of research that is become increasingly popular in health organization. Data Mining plays an important role for uncovering new trends in healthcare organization which in turn helpful for all the parties associated with this