Saravanan Obuli, T.P. Udhayashankar, R. U. Mageswari, G. Saritha, J. Surendiran, R. G. Vidhya
{"title":"An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries","authors":"Saravanan Obuli, T.P. Udhayashankar, R. U. Mageswari, G. Saritha, J. Surendiran, R. G. Vidhya","doi":"10.1109/ICCPC55978.2022.10072260","DOIUrl":null,"url":null,"abstract":"Research is being done to investigate whether the corpses of patients who have died without a treatment may be kept alive until a cure is discovered. Researchers are looking at the possibility of treating, freezing, and reviving their bodies once a cure for the disease is discovered. Nitrogen is used to keep the temperature of the human and animal bodies used in this study at less than one percent. Whether or not this experiment holds up when nitrogen gas is present is unknown. Despite this, they have a positive outlook on the future. Studies have shown that the mortality rate for patients whose surgeries take place at night is higher than that of those whose procedures took place during the day. In this work, we look at a comprehensive analysis of research drug companies conducted with the use of clinical trial investigation methods. Clinical research is described as a quality improvement process with the goal of bettering care and patient outcomes by meticulous comparison to predetermined criteria and the implementation of change. There are many statistical thresholds in the proposed model: 99.56% for cross-sectional calculations, 97.52% for population calculations, 95.18% for event-controlled modelling, 97.53% for clinical trial reporting. . and 96.34% for confounding variables.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer, Power and Communications (ICCPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPC55978.2022.10072260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Research is being done to investigate whether the corpses of patients who have died without a treatment may be kept alive until a cure is discovered. Researchers are looking at the possibility of treating, freezing, and reviving their bodies once a cure for the disease is discovered. Nitrogen is used to keep the temperature of the human and animal bodies used in this study at less than one percent. Whether or not this experiment holds up when nitrogen gas is present is unknown. Despite this, they have a positive outlook on the future. Studies have shown that the mortality rate for patients whose surgeries take place at night is higher than that of those whose procedures took place during the day. In this work, we look at a comprehensive analysis of research drug companies conducted with the use of clinical trial investigation methods. Clinical research is described as a quality improvement process with the goal of bettering care and patient outcomes by meticulous comparison to predetermined criteria and the implementation of change. There are many statistical thresholds in the proposed model: 99.56% for cross-sectional calculations, 97.52% for population calculations, 95.18% for event-controlled modelling, 97.53% for clinical trial reporting. . and 96.34% for confounding variables.