Sonia Maria D’souza, Suchethana H C, Harshan Kg, N. Ashwin, Veeresh Km, P. K S
{"title":"研究型医药行业智能临床试验调查方法分析","authors":"Sonia Maria D’souza, Suchethana H C, Harshan Kg, N. Ashwin, Veeresh Km, P. K S","doi":"10.1109/CCIP57447.2022.10058659","DOIUrl":null,"url":null,"abstract":"Research is being done to see if it is possible to preserve the bodies of patients who have died in the absence of a cure and keep them alive after a cure is found. Researchers say that their bodies can be preserved by freezing and treated and brought back to life when a cure for the disease is found. They conduct this research on human and animal bodies by processing the bodies at minus 1% degree temperature with the help of nitrogen. It is questionable whether this experiment will be successful in the presence of nitrogen gas. However, they hope for success in the future. Studies have found that patients who undergo surgery at night are more likely to die without treatment than patients who undergo surgery during the day. In this paper a smart analysis of research medicine industries are evaluated with the help of clinical trial investigation methods. Clinical research is defined as a quality improvement process that seeks to improve patient care and outcomes by systematically reviewing care against defined criteria and implementing change. In a cut-off point, the proposed model reached 99.56% of cross sectional calculations, 97.52% of population computation, 95.18% of Event controlled modelling, 97.53% of clinical trial reports and 96.34% of confounding factors.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries\",\"authors\":\"Sonia Maria D’souza, Suchethana H C, Harshan Kg, N. Ashwin, Veeresh Km, P. K S\",\"doi\":\"10.1109/CCIP57447.2022.10058659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research is being done to see if it is possible to preserve the bodies of patients who have died in the absence of a cure and keep them alive after a cure is found. Researchers say that their bodies can be preserved by freezing and treated and brought back to life when a cure for the disease is found. They conduct this research on human and animal bodies by processing the bodies at minus 1% degree temperature with the help of nitrogen. It is questionable whether this experiment will be successful in the presence of nitrogen gas. However, they hope for success in the future. Studies have found that patients who undergo surgery at night are more likely to die without treatment than patients who undergo surgery during the day. In this paper a smart analysis of research medicine industries are evaluated with the help of clinical trial investigation methods. Clinical research is defined as a quality improvement process that seeks to improve patient care and outcomes by systematically reviewing care against defined criteria and implementing change. In a cut-off point, the proposed model reached 99.56% of cross sectional calculations, 97.52% of population computation, 95.18% of Event controlled modelling, 97.53% of clinical trial reports and 96.34% of confounding factors.\",\"PeriodicalId\":309964,\"journal\":{\"name\":\"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIP57447.2022.10058659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP57447.2022.10058659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries
Research is being done to see if it is possible to preserve the bodies of patients who have died in the absence of a cure and keep them alive after a cure is found. Researchers say that their bodies can be preserved by freezing and treated and brought back to life when a cure for the disease is found. They conduct this research on human and animal bodies by processing the bodies at minus 1% degree temperature with the help of nitrogen. It is questionable whether this experiment will be successful in the presence of nitrogen gas. However, they hope for success in the future. Studies have found that patients who undergo surgery at night are more likely to die without treatment than patients who undergo surgery during the day. In this paper a smart analysis of research medicine industries are evaluated with the help of clinical trial investigation methods. Clinical research is defined as a quality improvement process that seeks to improve patient care and outcomes by systematically reviewing care against defined criteria and implementing change. In a cut-off point, the proposed model reached 99.56% of cross sectional calculations, 97.52% of population computation, 95.18% of Event controlled modelling, 97.53% of clinical trial reports and 96.34% of confounding factors.