|
Computer science department in the university of technology award MSC to
the student Ala Samer for her thesis
"Analysis of medical tests using linked Algorithm rules"
The researcher said that data searching has been used to know the
identifier
Among huge amounts of data, where the data is saved within the database,
data store, etc. The large amount of data in the health care sector is
the main source to be processed and analyzed in order to extract the
identifier. Data searching techniques is used in the management of
health care that improve the quality and reduce the cost of health care
technologies.
The researcher noted that the data searching algorithms are almost
required in every step in the process of (KDD) and are classified from
understanding to assess the identifier which is necessary to distinguish
and evaluate the algorithms for the most common data applied in the
modern health care services. Using high quality algorithms as a medical
diagnosis is considered a mysterious mission so far that needs to be
strictly and effectively implement.
In this research, three algorithms are suggested, ETKAR and ETNR to
discover the linked algorithms rules and ERIA to reduce data time
searching.
ETKAR, ETNR are used to produce the minimum confidence and minimum
support linked algorithms rules.
ERIA is used to produce an algorithm that reduces the time to perform
the linked rules by extract number of elements that include the most
documentary database.
By making a comparison between the (TKAR, TNR, ETKAR, ETNR, ERIA), the
researcher could find the faster algorithm.
The discussion committee includes:
- Dr. Hussein K. Mansi (head).
- Dr. Rihab F. Hassan, Dr. Ayad R. Abbas (members).
- Dr. Ahmed T. Sadeq (supervisor). |