{"title":"医学领域预测任务的web应用开发","authors":"M. Mazorchuk, V. Dobriak, D. Chumachenko","doi":"10.1109/STC-CSIT.2018.8526684","DOIUrl":null,"url":null,"abstract":"Now the predictions in clinical trials and the establishment of a correct diagnosis of the symptoms of the patient is one of the main tasks in medicine. Existing mobile applications in health care in most cases solve the tasks of scheduling and effective management of medical institutions, or are aimed at solving narrow diagnostic problems. Virtually there are no mobile solutions in the field of classification and statistical analysis in the initial diagnosis of patients. In this paper, we consider the creation of a web-application for the analysis of the development of clinical diseases based on statistical observations of patients. Web-application was created in an open RStudio environment using the Shiny library.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"24 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Web-Application Development for Tasks of Prediction in Medical Domain\",\"authors\":\"M. Mazorchuk, V. Dobriak, D. Chumachenko\",\"doi\":\"10.1109/STC-CSIT.2018.8526684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Now the predictions in clinical trials and the establishment of a correct diagnosis of the symptoms of the patient is one of the main tasks in medicine. Existing mobile applications in health care in most cases solve the tasks of scheduling and effective management of medical institutions, or are aimed at solving narrow diagnostic problems. Virtually there are no mobile solutions in the field of classification and statistical analysis in the initial diagnosis of patients. In this paper, we consider the creation of a web-application for the analysis of the development of clinical diseases based on statistical observations of patients. Web-application was created in an open RStudio environment using the Shiny library.\",\"PeriodicalId\":403793,\"journal\":{\"name\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"24 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2018.8526684\",\"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 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Web-Application Development for Tasks of Prediction in Medical Domain
Now the predictions in clinical trials and the establishment of a correct diagnosis of the symptoms of the patient is one of the main tasks in medicine. Existing mobile applications in health care in most cases solve the tasks of scheduling and effective management of medical institutions, or are aimed at solving narrow diagnostic problems. Virtually there are no mobile solutions in the field of classification and statistical analysis in the initial diagnosis of patients. In this paper, we consider the creation of a web-application for the analysis of the development of clinical diseases based on statistical observations of patients. Web-application was created in an open RStudio environment using the Shiny library.