Mukul Dhurkunde, M. Trivedi, Nayan Kadam, Sudarshan Kshirsagar
{"title":"利用机器学习预测Covid-19爆发","authors":"Mukul Dhurkunde, M. Trivedi, Nayan Kadam, Sudarshan Kshirsagar","doi":"10.55248/gengpi.2022.31291","DOIUrl":null,"url":null,"abstract":"Coronavirus disease 2019 (COVID-19) is spreading rapidly; machine learning algorithms have been applied for a long time in many applications requiring the detection of adverse risk factors. The machine learning model proposed in this research paper uses three types of data, confirmed cases, recovered cases and deaths reported, the model can predict the spread of the virus in the next 20 days, and the data is time line series data and that is effective in predicting new cases of corona, death numbers and recovery.","PeriodicalId":398311,"journal":{"name":"International Journal of Research Publication and Reviews","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Prediction of Covid-19 Outbreak Using Machine Learning\",\"authors\":\"Mukul Dhurkunde, M. Trivedi, Nayan Kadam, Sudarshan Kshirsagar\",\"doi\":\"10.55248/gengpi.2022.31291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coronavirus disease 2019 (COVID-19) is spreading rapidly; machine learning algorithms have been applied for a long time in many applications requiring the detection of adverse risk factors. The machine learning model proposed in this research paper uses three types of data, confirmed cases, recovered cases and deaths reported, the model can predict the spread of the virus in the next 20 days, and the data is time line series data and that is effective in predicting new cases of corona, death numbers and recovery.\",\"PeriodicalId\":398311,\"journal\":{\"name\":\"International Journal of Research Publication and Reviews\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Research Publication and Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55248/gengpi.2022.31291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research Publication and Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55248/gengpi.2022.31291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Covid-19 Outbreak Using Machine Learning
Coronavirus disease 2019 (COVID-19) is spreading rapidly; machine learning algorithms have been applied for a long time in many applications requiring the detection of adverse risk factors. The machine learning model proposed in this research paper uses three types of data, confirmed cases, recovered cases and deaths reported, the model can predict the spread of the virus in the next 20 days, and the data is time line series data and that is effective in predicting new cases of corona, death numbers and recovery.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
