{"title":"用密集神经网络预测心脏病","authors":"Akansha Singh, Anamika Jain","doi":"10.1109/GlobConPT57482.2022.9938354","DOIUrl":null,"url":null,"abstract":"Heart disease are very common in humans because of their life style. It become life threatening when do not treated on time. So the early detection of heart disease has become very important. Many researchers have done a lot of research on the prediction of the heart disease. To minimize the risk of loosing life, we have proposed a Artificial neural network based method that can predict the heart disease in the early stages. The proposed method is tested over the publicly available UCI dataset. We have achieved 96.09% accuracy with the proposed method.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Heart Disease using Dense Neural Network\",\"authors\":\"Akansha Singh, Anamika Jain\",\"doi\":\"10.1109/GlobConPT57482.2022.9938354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heart disease are very common in humans because of their life style. It become life threatening when do not treated on time. So the early detection of heart disease has become very important. Many researchers have done a lot of research on the prediction of the heart disease. To minimize the risk of loosing life, we have proposed a Artificial neural network based method that can predict the heart disease in the early stages. The proposed method is tested over the publicly available UCI dataset. We have achieved 96.09% accuracy with the proposed method.\",\"PeriodicalId\":431406,\"journal\":{\"name\":\"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GlobConPT57482.2022.9938354\",\"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 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GlobConPT57482.2022.9938354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Heart Disease using Dense Neural Network
Heart disease are very common in humans because of their life style. It become life threatening when do not treated on time. So the early detection of heart disease has become very important. Many researchers have done a lot of research on the prediction of the heart disease. To minimize the risk of loosing life, we have proposed a Artificial neural network based method that can predict the heart disease in the early stages. The proposed method is tested over the publicly available UCI dataset. We have achieved 96.09% accuracy with the proposed method.