{"title":"利用先知模型预测美国新冠肺炎患者","authors":"Abhigyan Tiwary, M. Kumar, Pranay Yadav","doi":"10.1109/ICATME50232.2021.9732766","DOIUrl":null,"url":null,"abstract":"In this research work focus on increase rate of number of patient predication of COVID-19 in USA. The focus of the research work to determine the increase rate of COVID-19 patient. On 11th march WHO head novel corona virus spate a worldwide deadly disease. In this research work a period plan simulation model to anticipate prediction flitting estimate of the transmission of the drastically creating corona virus time course of action is shown and examined. Prophet is a technique for assessing /envisioning time plan data subject to an additional substance model where non-direct examples are fit with yearly, step by step, and step by step abnormality, notwithstanding event impacts.","PeriodicalId":414180,"journal":{"name":"2021 International Conference on Advances in Technology, Management & Education (ICATME)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Prediction of Covid-19 Patient in United States of America Using Prophet Model\",\"authors\":\"Abhigyan Tiwary, M. Kumar, Pranay Yadav\",\"doi\":\"10.1109/ICATME50232.2021.9732766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research work focus on increase rate of number of patient predication of COVID-19 in USA. The focus of the research work to determine the increase rate of COVID-19 patient. On 11th march WHO head novel corona virus spate a worldwide deadly disease. In this research work a period plan simulation model to anticipate prediction flitting estimate of the transmission of the drastically creating corona virus time course of action is shown and examined. Prophet is a technique for assessing /envisioning time plan data subject to an additional substance model where non-direct examples are fit with yearly, step by step, and step by step abnormality, notwithstanding event impacts.\",\"PeriodicalId\":414180,\"journal\":{\"name\":\"2021 International Conference on Advances in Technology, Management & Education (ICATME)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Advances in Technology, Management & Education (ICATME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICATME50232.2021.9732766\",\"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 International Conference on Advances in Technology, Management & Education (ICATME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATME50232.2021.9732766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Covid-19 Patient in United States of America Using Prophet Model
In this research work focus on increase rate of number of patient predication of COVID-19 in USA. The focus of the research work to determine the increase rate of COVID-19 patient. On 11th march WHO head novel corona virus spate a worldwide deadly disease. In this research work a period plan simulation model to anticipate prediction flitting estimate of the transmission of the drastically creating corona virus time course of action is shown and examined. Prophet is a technique for assessing /envisioning time plan data subject to an additional substance model where non-direct examples are fit with yearly, step by step, and step by step abnormality, notwithstanding event impacts.