{"title":"数据挖掘在莱索托卫生部门的应用:初步研究","authors":"Mamochochi A. Selialia, Lebeko Poulo","doi":"10.1109/ISTAFRICA.2015.7190551","DOIUrl":null,"url":null,"abstract":"This paper strives to outline the use and applications of data mining in the health sector, tailor-made for the land-locked Lesotho, in Southern Africa. The concepts discussed in this paper can easily be modified to fit several industries; higher education, the legal sector, the retail and telecommunications industries and the insurance sector. Healthcare management can be improved immensely with the use of data mining. The goal of our study is to discover patterns in the HIV/AIDS treatment among patients in Lesotho. Close monitoring of the disease progression is the most vital aspect as far as curbing fatalities is concerned. Using data mining tools, detailed patient information and treatment records can be used to determine if the course of treatment will work in order to keep a patient alive for a longer period of time.","PeriodicalId":208344,"journal":{"name":"2015 IST-Africa Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applications of data mining in the health sector in Lesotho: A preliminary study\",\"authors\":\"Mamochochi A. Selialia, Lebeko Poulo\",\"doi\":\"10.1109/ISTAFRICA.2015.7190551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper strives to outline the use and applications of data mining in the health sector, tailor-made for the land-locked Lesotho, in Southern Africa. The concepts discussed in this paper can easily be modified to fit several industries; higher education, the legal sector, the retail and telecommunications industries and the insurance sector. Healthcare management can be improved immensely with the use of data mining. The goal of our study is to discover patterns in the HIV/AIDS treatment among patients in Lesotho. Close monitoring of the disease progression is the most vital aspect as far as curbing fatalities is concerned. Using data mining tools, detailed patient information and treatment records can be used to determine if the course of treatment will work in order to keep a patient alive for a longer period of time.\",\"PeriodicalId\":208344,\"journal\":{\"name\":\"2015 IST-Africa Conference\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IST-Africa Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISTAFRICA.2015.7190551\",\"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 IST-Africa Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTAFRICA.2015.7190551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applications of data mining in the health sector in Lesotho: A preliminary study
This paper strives to outline the use and applications of data mining in the health sector, tailor-made for the land-locked Lesotho, in Southern Africa. The concepts discussed in this paper can easily be modified to fit several industries; higher education, the legal sector, the retail and telecommunications industries and the insurance sector. Healthcare management can be improved immensely with the use of data mining. The goal of our study is to discover patterns in the HIV/AIDS treatment among patients in Lesotho. Close monitoring of the disease progression is the most vital aspect as far as curbing fatalities is concerned. Using data mining tools, detailed patient information and treatment records can be used to determine if the course of treatment will work in order to keep a patient alive for a longer period of time.