{"title":"基于神经网络的用户健康状态诊断与预测系统的结构","authors":"Karpa Dmytro, T. Vasyl, Z. Andriy","doi":"10.1109/AIACT.2017.8020063","DOIUrl":null,"url":null,"abstract":"In this article the structure and the features of the clinical statistical data processing to solve the diagnostic problems have been reviewed. The system software solution example is drawn on the basis of the neural network. The system serves for monitoring the user's state in real time with the help of Android device and web-service.","PeriodicalId":367743,"journal":{"name":"2017 2nd International Conference on Advanced Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The structure of the user's health state diagnostic and predicting system on the basis of the neural network\",\"authors\":\"Karpa Dmytro, T. Vasyl, Z. Andriy\",\"doi\":\"10.1109/AIACT.2017.8020063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article the structure and the features of the clinical statistical data processing to solve the diagnostic problems have been reviewed. The system software solution example is drawn on the basis of the neural network. The system serves for monitoring the user's state in real time with the help of Android device and web-service.\",\"PeriodicalId\":367743,\"journal\":{\"name\":\"2017 2nd International Conference on Advanced Information and Communication Technologies (AICT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on Advanced Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIACT.2017.8020063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Advanced Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIACT.2017.8020063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The structure of the user's health state diagnostic and predicting system on the basis of the neural network
In this article the structure and the features of the clinical statistical data processing to solve the diagnostic problems have been reviewed. The system software solution example is drawn on the basis of the neural network. The system serves for monitoring the user's state in real time with the help of Android device and web-service.