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Design Advance Database Supported with some of Data Mining Ensemble for Early Deduction of Osteoporosis

by Anhar Khairy Al-deen, Kubais Saeed Fahady, Reem Ali Al-jarah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 16
Year of Publication: 2015
Authors: Anhar Khairy Al-deen, Kubais Saeed Fahady, Reem Ali Al-jarah
10.5120/21625-4928

Anhar Khairy Al-deen, Kubais Saeed Fahady, Reem Ali Al-jarah . Design Advance Database Supported with some of Data Mining Ensemble for Early Deduction of Osteoporosis. International Journal of Computer Applications. 121, 16 ( July 2015), 18-29. DOI=10.5120/21625-4928

@article{ 10.5120/21625-4928,
author = { Anhar Khairy Al-deen, Kubais Saeed Fahady, Reem Ali Al-jarah },
title = { Design Advance Database Supported with some of Data Mining Ensemble for Early Deduction of Osteoporosis },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 16 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number16/21625-4928/ },
doi = { 10.5120/21625-4928 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:37.571866+05:30
%A Anhar Khairy Al-deen
%A Kubais Saeed Fahady
%A Reem Ali Al-jarah
%T Design Advance Database Supported with some of Data Mining Ensemble for Early Deduction of Osteoporosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 16
%P 18-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A computerize Osteoporosis system has been designed, it is based on a database with factors that represent the cause of Osteoporosis, in this database the Visual Basic. net language were used for designing system forms ,as well as TSQL language and SQL Server. Data Mining is considered to be the most important tool used to extract information from data and uncover its hidden paten. The Utility of its tools enable researchers to use it in many applications and to data irrelative of its size. In this paper the Naïve Bayes Classifier and Rule Induction, were used as a data mining tools, to classify person with, or without, Osteoporosis, and to detect the main causes that leads to Osteoporosis. Data was collected from a sample of patient, from Al-Salam and Al- Jamhori Hospitals in Mosul City. Direct interview to those patient were used to collect information about the history and the stage of the cases. Based on this data a Model for the Osteoporosis Stages was derived and software was designed, to be used by specialist in the diagnosis and treatment of the disease. The study reached some conclusion and suggestion

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Index Terms

Computer Science
Information Sciences

Keywords

Risk Factors BMD ADO ODBC HTTP FTP Rule Induction Naïve Bayes.

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