{"title":"患者病情监测积分参数评价方法的形成，综合数据的预测","authors":"Alexander Trunov, V. Koshovyi","doi":"10.1109/aict52120.2021.9628986","DOIUrl":null,"url":null,"abstract":"The integrated indicator is proposed, that connects quantitative and qualitative medical parameters. Its properties are investigated. It is shown that the upper boundary of its estimation depends on the number of parameters that are generalized, and the lower does not depend. Modeling of monitoring of condition parameters at the remote recovery of post-stroke patients is carried out, data compression coefficients are determined.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Formation of Method for Evaluation of Integral Parameters of the Patient’s Condition Monitoring, Forecasting of Consolidated Data\",\"authors\":\"Alexander Trunov, V. Koshovyi\",\"doi\":\"10.1109/aict52120.2021.9628986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The integrated indicator is proposed, that connects quantitative and qualitative medical parameters. Its properties are investigated. It is shown that the upper boundary of its estimation depends on the number of parameters that are generalized, and the lower does not depend. Modeling of monitoring of condition parameters at the remote recovery of post-stroke patients is carried out, data compression coefficients are determined.\",\"PeriodicalId\":375013,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/aict52120.2021.9628986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aict52120.2021.9628986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Formation of Method for Evaluation of Integral Parameters of the Patient’s Condition Monitoring, Forecasting of Consolidated Data
The integrated indicator is proposed, that connects quantitative and qualitative medical parameters. Its properties are investigated. It is shown that the upper boundary of its estimation depends on the number of parameters that are generalized, and the lower does not depend. Modeling of monitoring of condition parameters at the remote recovery of post-stroke patients is carried out, data compression coefficients are determined.
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