{"title":"使用物联网的远程健康监测系统","authors":"Sarthak Gupta, Divyansh Dahiya, G. Raj","doi":"10.1109/ICCOMM.2018.8430131","DOIUrl":null,"url":null,"abstract":"Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.","PeriodicalId":158890,"journal":{"name":"2018 International Conference on Communications (COMM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Remote Health Monitoring System Using IoT\",\"authors\":\"Sarthak Gupta, Divyansh Dahiya, G. Raj\",\"doi\":\"10.1109/ICCOMM.2018.8430131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.\",\"PeriodicalId\":158890,\"journal\":{\"name\":\"2018 International Conference on Communications (COMM)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCOMM.2018.8430131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCOMM.2018.8430131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.