{"title":"利用机器学习技术预测心脏病","authors":"Amit Jain, Suresh Babu Dongala, Aruna Kama","doi":"10.53022/oarjet.2022.3.1.0028","DOIUrl":null,"url":null,"abstract":"Heart diseases are commonly caused and when neglected becomes life threatening. So, early detection of the disease is very important and for diagnosis to save lives. There can be many parameters that are to be considered to predict the heart disease. Some of them are like age, cholesterol, blood pressure levels. Etc., here we are going to implement Machine Learning model to predict heart disease.","PeriodicalId":125730,"journal":{"name":"Open Access Research Journal of Engineering and Technology","volume":"241 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Heart disease prediction using machine learning techniques\",\"authors\":\"Amit Jain, Suresh Babu Dongala, Aruna Kama\",\"doi\":\"10.53022/oarjet.2022.3.1.0028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heart diseases are commonly caused and when neglected becomes life threatening. So, early detection of the disease is very important and for diagnosis to save lives. There can be many parameters that are to be considered to predict the heart disease. Some of them are like age, cholesterol, blood pressure levels. Etc., here we are going to implement Machine Learning model to predict heart disease.\",\"PeriodicalId\":125730,\"journal\":{\"name\":\"Open Access Research Journal of Engineering and Technology\",\"volume\":\"241 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Access Research Journal of Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53022/oarjet.2022.3.1.0028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Research Journal of Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53022/oarjet.2022.3.1.0028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heart disease prediction using machine learning techniques
Heart diseases are commonly caused and when neglected becomes life threatening. So, early detection of the disease is very important and for diagnosis to save lives. There can be many parameters that are to be considered to predict the heart disease. Some of them are like age, cholesterol, blood pressure levels. Etc., here we are going to implement Machine Learning model to predict heart disease.