{"title":"精神科药物不良反应临床数据挖掘研究进展","authors":"S. Viveka, B. Kalaavathi","doi":"10.1109/STARTUP.2016.7583945","DOIUrl":null,"url":null,"abstract":"In the past years, human health care system has limited application and the flow of data was very minimal. But in recent years, health care systems produce huge volume data because the growth of medical science. We use technology to supervise the complex data produced by the health care system. Data mining is one of the technologies used to find the interesting knowledge from the vast data produced by the health care system and used to analysis the patterns in large sets of data. Association, clustering, and classification are the tools used to help better exploitation of the data. It helps the health care professional to confirm the quality of the discovered medicine, prescribed treatment and the adverse reaction of the drugs.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Review on clinical data mining with psychiatric adverse drug reaction\",\"authors\":\"S. Viveka, B. Kalaavathi\",\"doi\":\"10.1109/STARTUP.2016.7583945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the past years, human health care system has limited application and the flow of data was very minimal. But in recent years, health care systems produce huge volume data because the growth of medical science. We use technology to supervise the complex data produced by the health care system. Data mining is one of the technologies used to find the interesting knowledge from the vast data produced by the health care system and used to analysis the patterns in large sets of data. Association, clustering, and classification are the tools used to help better exploitation of the data. It helps the health care professional to confirm the quality of the discovered medicine, prescribed treatment and the adverse reaction of the drugs.\",\"PeriodicalId\":355852,\"journal\":{\"name\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STARTUP.2016.7583945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STARTUP.2016.7583945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Review on clinical data mining with psychiatric adverse drug reaction
In the past years, human health care system has limited application and the flow of data was very minimal. But in recent years, health care systems produce huge volume data because the growth of medical science. We use technology to supervise the complex data produced by the health care system. Data mining is one of the technologies used to find the interesting knowledge from the vast data produced by the health care system and used to analysis the patterns in large sets of data. Association, clustering, and classification are the tools used to help better exploitation of the data. It helps the health care professional to confirm the quality of the discovered medicine, prescribed treatment and the adverse reaction of the drugs.