{"title":"勘误：物联网雾环境下尿路感染检测和预测的混合特征选择方法","authors":"Anisha Nagpal, Munish Sabharwal, Rohit Tripathi","doi":"10.31893/multiscience.2024170","DOIUrl":null,"url":null,"abstract":"The online version of the original article can be found at https://doi.org/10.31893/multiscience.2024080","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"3 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Erratum to: A hybrid feature selection approach for urinary tract infection detection and prediction in IoT-fog environment\",\"authors\":\"Anisha Nagpal, Munish Sabharwal, Rohit Tripathi\",\"doi\":\"10.31893/multiscience.2024170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The online version of the original article can be found at https://doi.org/10.31893/multiscience.2024080\",\"PeriodicalId\":218411,\"journal\":{\"name\":\"Multidisciplinary Science Journal\",\"volume\":\"3 14\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multidisciplinary Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31893/multiscience.2024170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multidisciplinary Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31893/multiscience.2024170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
