Data mining as a methodology for extracting hidden knowledge from breast cancer patient’s records in Jordan
Dissertant
Abu Ayshah, Isra Ismail Khalil
Thesis advisor
Comitee Members
Ujan, Arafat
al-Dawud, Ali
Ahmad, Ashraf M. A.
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
Health care organizations equipped with modern monitoring and other data collection devices, which provide a relatively inexpensive way to collect and store data in information systems.
Huge amount of data that have been collected in medical databases require specialized tools for storing and accessing data, analysis data, and effective use of data.
In particular, an increase in the amount of data caused great difficulties in extracting information to support decision-making is useful.
In Jordan there are huge amount of medical data which need to analyze so it be useful.
In our thesis we had taken a breast cancer patient‟s records which include eight fields: age, martial statues, smoking statues, address, statues of the patient, morphology, topology and summary stage of the cancer; to cluster it.
We had applied two data mining algorithm: K-mean and Self Organizing Map (SOM), and compare between the results and algorithms work.
The result was seven clusters that clarify the relation between the data types.
So it can be used now in the medical statistics and studies
Main Subjects
Medicine
Information Technology and Computer Science
Topics
No. of Pages
107
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : The data.
Chapter Four : The proposed system framework.
Chapter Five : Experimental results.
Chapter Six : Conclusions and future work.
References.
American Psychological Association (APA)
Abu Ayshah, Isra Ismail Khalil. (2014). Data mining as a methodology for extracting hidden knowledge from breast cancer patient’s records in Jordan. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535435
Modern Language Association (MLA)
Abu Ayshah, Isra Ismail Khalil. Data mining as a methodology for extracting hidden knowledge from breast cancer patient’s records in Jordan. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2014).
https://search.emarefa.net/detail/BIM-535435
American Medical Association (AMA)
Abu Ayshah, Isra Ismail Khalil. (2014). Data mining as a methodology for extracting hidden knowledge from breast cancer patient’s records in Jordan. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535435
Language
English
Data Type
Arab Theses
Record ID
BIM-535435
