Data Mining Clustering in Healthcare

نویسندگان

  • Bai Patel
  • Lin Chang
چکیده

The accumulating amounts of data are making traditional analysis methods impractical. Novel tools employed in Data Mining (DM) provide a useful alternative framework that addresses this problem. This research suggests a technique to identify certain patient populations. Our model examines the patient population and clusters certain groups. Those subpopulations are then classified in terms of their appropriate medical treatment. As a result, we show the value of applying a DM model to more easily identify patients.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using 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 کامل

Predicting Thyroid Disease Using Datamining Technique

Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship mana...

متن کامل

A Survey on Data Mining Approaches for Healthcare Domain

In today’s world, Healthcare is the most important factor affecting human life. Due to busy life ,it is not possible for personal healthcare. The proposed system acts as a preventive measure for determining whether a person is fit or unfit based on his/her historical and real time data by applying clustering algorithms viz. K-means and D-stream. Data Mining is one of the most motivating area of...

متن کامل

Improving Fraud and Abuse Detection in General Physician Claims: A Data Mining Study

Background We aimed to identify the indicators of healthcare fraud and abuse in general physicians’ drug prescription claims, and to identify a subset of general physicians that were more likely to have committed fraud and abuse.   Methods We applied data mining approach to a major health insurance organization dataset of private sector general physicians’ prescription claims. It involved 5 ste...

متن کامل

A Data Mining technique for Data Clustering based on Genetic Algorithm

Data mining is the process of deriving knowledge from data. The data clustering is a classical activity in data mining. In this paper we propose a method to carry out data clustering using genetic algorithms. We use evolutionary characteristics to define the data clustering procedure. In addition, we present an example of application of our approach, the definition of healthcare centers for a g...

متن کامل

Using Supervised Clustering Technique to Classify Received Messages in 137 Call Center of Tehran City Council

Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010