{"title":"贝叶斯混合效应高阶隐马尔可夫模型在利用电子健康记录预测医疗保健中的应用","authors":"Ying Liao, Yisha Xiang, Zhigen Zhao, Di Ai","doi":"10.1080/24725854.2024.2302368","DOIUrl":null,"url":null,"abstract":"The disease progression dynamics in electronic health records often reflect patients’ health condition evolution, holding the promise of enabling the development of clinical predictive models. Thes...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records\",\"authors\":\"Ying Liao, Yisha Xiang, Zhigen Zhao, Di Ai\",\"doi\":\"10.1080/24725854.2024.2302368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The disease progression dynamics in electronic health records often reflect patients’ health condition evolution, holding the promise of enabling the development of clinical predictive models. Thes...\",\"PeriodicalId\":56039,\"journal\":{\"name\":\"IISE Transactions\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IISE Transactions\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/24725854.2024.2302368\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE Transactions","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/24725854.2024.2302368","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records
The disease progression dynamics in electronic health records often reflect patients’ health condition evolution, holding the promise of enabling the development of clinical predictive models. Thes...
IISE TransactionsEngineering-Industrial and Manufacturing Engineering
CiteScore
5.70
自引率
7.70%
发文量
93
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