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Reseach Article

Data Mining in Blood Platelets Transfusion using Classification Rule

Published on April 2012 by Devchand J. Chaudhari, Mamta Ramteke, Manoj G. Lade
Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
Foundation of Computer Science USA
ETCSIT - Number 2
April 2012
Authors: Devchand J. Chaudhari, Mamta Ramteke, Manoj G. Lade
a4351762-6bda-4a40-90cf-a70a49092e29

Devchand J. Chaudhari, Mamta Ramteke, Manoj G. Lade . Data Mining in Blood Platelets Transfusion using Classification Rule. Emerging Trends in Computer Science and Information Technology (ETCSIT2012). ETCSIT, 2 (April 2012), 14-17.

@article{
author = { Devchand J. Chaudhari, Mamta Ramteke, Manoj G. Lade },
title = { Data Mining in Blood Platelets Transfusion using Classification Rule },
journal = { Emerging Trends in Computer Science and Information Technology (ETCSIT2012) },
issue_date = { April 2012 },
volume = { ETCSIT },
number = { 2 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 14-17 },
numpages = 4,
url = { /proceedings/etcsit/number2/5970-1013/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%A Devchand J. Chaudhari
%A Mamta Ramteke
%A Manoj G. Lade
%T Data Mining in Blood Platelets Transfusion using Classification Rule
%J Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%@ 0975-8887
%V ETCSIT
%N 2
%P 14-17
%D 2012
%I International Journal of Computer Applications
Abstract

Data mining provides automatic pattern recognition and attempts to uncover patterns in data that are difficult to detect with traditional statistical methods. Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives, databases and summarizing it into useful form called information -information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. The goal of this project will be to develop data mining algorithm for transfusion of blood platelets. This algorithm will be adapted to find conditions under which transfusions were successful and those under which platelet transfusions were unsuccessful. This proposal will be useful for finding cancer patient's dataset.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Blood Platelets Transfusion Classification