1 research outputs found
The Usage of Association Rule Mining to Identify Influencing Factors on Deafness After Birth
Background: Providing complete and high quality health care services has very important role to enable
people to understand the factors related to personal and social health and to make decision regarding
choice of suitable healthy behaviors in order to achieve healthy life. For this reason, demographic and
clinical data of person are collecting, this huge volume of data can be known as a valuable resource for
analyzing, exploring and discovering valuable information and communication. This study using forum
rules techniques in the data mining has tried to identify the affecting factors on hearing loss after
birth in Iran. Materials and Methods: The survey is kind of data oriented study. The population of the
study is contained questionnaires in several provinces of the country. First, all data of questionnaire
was implemented in the form of information table in Software SQL Server and followed by Data Entry
using written software of C # .Net, then algorithm Association in SQL Server Data Tools software and
Clementine software was implemented to determine the rules and hidden patterns in the gathered
data. Findings: Two factors of number of deaf brothers and the degree of consanguinity of the parents
have a significant impact on severity of deafness of individuals. Also, when the severity of hearing loss
is greater than or equal to moderately severe hearing loss, people use hearing aids and Men are also
less interested in the use of hearing aids. Conclusion: In fact, it can be said that in families with consanguineous
marriage of parents that are from first degree (girl/boy cousins) and 2nd degree relatives
(girl/boy cousins) and especially from first degree, the number of people with severe hearing loss or
deafness are more and in the use of hearing aids, gender of the patient is more important than the
severity of the hearing los