{"title":"白内障患者康复相关危险因素的确定","authors":"F. Ugwuowo, E. Udoumoh","doi":"10.4314/GJMAS.V9I1.62499","DOIUrl":null,"url":null,"abstract":"Markov modeling approach is adapted in a multi-stage process involving acuity levels of patients. The multiple binary logistic regression models is used to identify some risk factors associated with the recovery process. Result shows that Blood pressure and Sugar in the blood form the significant risk factors associated with recovery. KEYWORDS : Recovery process; transition probability matrix, multiple logistic regression; risk factors; multi-stage process.","PeriodicalId":126381,"journal":{"name":"Global Journal of Mathematical Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the determination of risk factors associated with the recovery of cataract patients\",\"authors\":\"F. Ugwuowo, E. Udoumoh\",\"doi\":\"10.4314/GJMAS.V9I1.62499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Markov modeling approach is adapted in a multi-stage process involving acuity levels of patients. The multiple binary logistic regression models is used to identify some risk factors associated with the recovery process. Result shows that Blood pressure and Sugar in the blood form the significant risk factors associated with recovery. KEYWORDS : Recovery process; transition probability matrix, multiple logistic regression; risk factors; multi-stage process.\",\"PeriodicalId\":126381,\"journal\":{\"name\":\"Global Journal of Mathematical Sciences\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Journal of Mathematical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/GJMAS.V9I1.62499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Mathematical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/GJMAS.V9I1.62499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the determination of risk factors associated with the recovery of cataract patients
Markov modeling approach is adapted in a multi-stage process involving acuity levels of patients. The multiple binary logistic regression models is used to identify some risk factors associated with the recovery process. Result shows that Blood pressure and Sugar in the blood form the significant risk factors associated with recovery. KEYWORDS : Recovery process; transition probability matrix, multiple logistic regression; risk factors; multi-stage process.