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The Usage of Association Rule Mining to Identify Influencing Factors on Deafness After Birth

机译:关联规则挖掘在出生后耳聋影响因素识别中的应用

摘要

Background: Providing complete and high quality health care services has very important role to enableudpeople to understand the factors related to personal and social health and to make decision regardingudchoice of suitable healthy behaviors in order to achieve healthy life. For this reason, demographic andudclinical data of person are collecting, this huge volume of data can be known as a valuable resource forudanalyzing, exploring and discovering valuable information and communication. This study using forumudrules techniques in the data mining has tried to identify the affecting factors on hearing loss afterudbirth in Iran. Materials and Methods: The survey is kind of data oriented study. The population of theudstudy is contained questionnaires in several provinces of the country. First, all data of questionnaireudwas implemented in the form of information table in Software SQL Server and followed by Data Entryudusing written software of C # .Net, then algorithm Association in SQL Server Data Tools software andudClementine software was implemented to determine the rules and hidden patterns in the gathereduddata. Findings: Two factors of number of deaf brothers and the degree of consanguinity of the parentsudhave a significant impact on severity of deafness of individuals. Also, when the severity of hearing lossudis greater than or equal to moderately severe hearing loss, people use hearing aids and Men are alsoudless interested in the use of hearing aids. Conclusion: In fact, it can be said that in families with consanguineousudmarriage of parents that are from first degree (girl/boy cousins) and 2nd degree relativesud(girl/boy cousins) and especially from first degree, the number of people with severe hearing loss oruddeafness are more and in the use of hearing aids, gender of the patient is more important than theudseverity of the hearing loss
机译:背景:提供全面和高质量的医疗服务对使人们了解与个人和社会健康相关的因素,并就适合的健康行为做出决定以实现健康生活做出决定,具有非常重要的作用。因此,人们的人口统计和/临床数据正在收集中,这大量数据可以被称为用于分析,探索和发现有价值的信息和交流的宝贵资源。这项在数据挖掘中使用论坛 udrules技术的研究试图确定伊朗 udbird产后听力损失的影响因素。材料和方法:调查是一种面向数据的研究。研究的人口包含在该国几个省份的调查表中。首先,在SQL Server软件中以信息表的形式实现问卷的所有数据 ud,然后使用C#.Net的书面软件进行数据录入 ud,然后在SQL Server数据工具软件和 udClementine软件中实现算法关联,以实现确定收集的 uddata中的规则和隐藏模式。研究结果:失聪兄弟的数量和父母的血缘程度的两个因素对个人失聪的严重程度具有重要影响。同样,当听力损失的严重程度大于或等于中度严重的听力损失时,人们会使用助听器,而男性对助听器的使用也会毫无兴趣。结论:实际上,可以说,在父母近亲结婚的家庭中,一等(女孩/男孩表亲)和二等亲戚(ud)(女孩/男孩表亲),尤其是一等亲生的家庭,患有严重听力损失或耳聋的人更多,并且在使用助听器时,患者的性别比听力损失的严重程度更为重要

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