{"title":"数据挖掘在医疗保健中的重要性:一项调查","authors":"Mohammad Hossein Tekieh, B. Raahemi","doi":"10.1145/2808797.2809367","DOIUrl":null,"url":null,"abstract":"In this survey, we collect the related information that demonstrate the importance of data mining in healthcare. As the amount of collected health data is increasing significantly every day, it is believed that a strong analysis tool that is capable of handling and analyzing large health data is essential. Analyzing the health datasets gathered by electronic health record (EHR) systems, insurance claims, health surveys, and other sources, using data mining techniques is very complex and is faced with very specific challenges, including data quality and privacy issues. However, the applications of data mining in healthcare, advantages of data mining techniques over traditional methods, special characteristics of health data, and new health condition mysteries have made data mining very necessary for health data analysis.","PeriodicalId":371988,"journal":{"name":"2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":"{\"title\":\"Importance of data mining in healthcare: A survey\",\"authors\":\"Mohammad Hossein Tekieh, B. Raahemi\",\"doi\":\"10.1145/2808797.2809367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this survey, we collect the related information that demonstrate the importance of data mining in healthcare. As the amount of collected health data is increasing significantly every day, it is believed that a strong analysis tool that is capable of handling and analyzing large health data is essential. Analyzing the health datasets gathered by electronic health record (EHR) systems, insurance claims, health surveys, and other sources, using data mining techniques is very complex and is faced with very specific challenges, including data quality and privacy issues. However, the applications of data mining in healthcare, advantages of data mining techniques over traditional methods, special characteristics of health data, and new health condition mysteries have made data mining very necessary for health data analysis.\",\"PeriodicalId\":371988,\"journal\":{\"name\":\"2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2808797.2809367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2808797.2809367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this survey, we collect the related information that demonstrate the importance of data mining in healthcare. As the amount of collected health data is increasing significantly every day, it is believed that a strong analysis tool that is capable of handling and analyzing large health data is essential. Analyzing the health datasets gathered by electronic health record (EHR) systems, insurance claims, health surveys, and other sources, using data mining techniques is very complex and is faced with very specific challenges, including data quality and privacy issues. However, the applications of data mining in healthcare, advantages of data mining techniques over traditional methods, special characteristics of health data, and new health condition mysteries have made data mining very necessary for health data analysis.