{"title":"我们怎么能认为一个孩子有患心血管疾病的危险因素呢？","authors":"Palacios Fernando Aguirre, Celis Gregory","doi":"10.17352/2455-5479.000186","DOIUrl":null,"url":null,"abstract":"Digital health has come into reality, thanks to the new technologies such as Artificial Intelligence and Deep learning, contributing in a transcendental way to advances in the prevention, diagnosis, treatment and monitoring of diseases; In addition, this occurs at a crucial moment, marked by the growing prevalence of chronic diseases and the increase in life expectancy.","PeriodicalId":87221,"journal":{"name":"Archives of community medicine and public health","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How can we presume a kid is having risk factors for cardiovascular disease?\",\"authors\":\"Palacios Fernando Aguirre, Celis Gregory\",\"doi\":\"10.17352/2455-5479.000186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital health has come into reality, thanks to the new technologies such as Artificial Intelligence and Deep learning, contributing in a transcendental way to advances in the prevention, diagnosis, treatment and monitoring of diseases; In addition, this occurs at a crucial moment, marked by the growing prevalence of chronic diseases and the increase in life expectancy.\",\"PeriodicalId\":87221,\"journal\":{\"name\":\"Archives of community medicine and public health\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of community medicine and public health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17352/2455-5479.000186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of community medicine and public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17352/2455-5479.000186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How can we presume a kid is having risk factors for cardiovascular disease?
Digital health has come into reality, thanks to the new technologies such as Artificial Intelligence and Deep learning, contributing in a transcendental way to advances in the prevention, diagnosis, treatment and monitoring of diseases; In addition, this occurs at a crucial moment, marked by the growing prevalence of chronic diseases and the increase in life expectancy.
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