Ram Kumar M, Gokula Krishnan E, Dharneeshwar R, Dinep Kumar M
{"title":"Detection Of Arrhythmia Using Machine Learning(Heart Disease) And ECG","authors":"Ram Kumar M, Gokula Krishnan E, Dharneeshwar R, Dinep Kumar M","doi":"10.1109/ICACTA54488.2022.9752920","DOIUrl":null,"url":null,"abstract":"Cardio Vascular abnormality is the number of cause of death. Four out of ten people suffers from heart attack around the world according to information from the WHO. At least one life is being taken away by this devastating heart attack every minute in the United States of America. Causes for these may be due to irregular diet, physical inactivity and may be due to tobacco consumption. It contributes to 31% of global death. Detection of heart disease by using computer aided Machine Learning model would make this process easier. There are many methods available but those are not efficient enough but can decide still which model is efficient compared to others that are available.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTA54488.2022.9752920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cardio Vascular abnormality is the number of cause of death. Four out of ten people suffers from heart attack around the world according to information from the WHO. At least one life is being taken away by this devastating heart attack every minute in the United States of America. Causes for these may be due to irregular diet, physical inactivity and may be due to tobacco consumption. It contributes to 31% of global death. Detection of heart disease by using computer aided Machine Learning model would make this process easier. There are many methods available but those are not efficient enough but can decide still which model is efficient compared to others that are available.
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