{"title":"医疗大数据扩展定义","authors":"Fadia Shah, Jianping Li, Y. Shah, F. Shah","doi":"10.1109/ICSESS.2017.8342967","DOIUrl":null,"url":null,"abstract":"The human life is always experiencing problems related to health. The survival is difficult if not treated well. For a better recovery, health problems are solved by treatment plans and medications; which are by health care professional called specialists, doctors or medical practitioners. Whatever these professionals recommend, it is well maintained in the form of reports. The collection of all this record makes Medical Big Data (MBD). Based upon the medical problem, this MBD includes medical history and prescription reports, test reports, X-Ray, CT Scan, and some other types of medical diagnosis. Traditional systems are now improved after the enhancements in telecommunication modes and innovation of smart devices with latest 5G technology has a huge contribution in every field of science. Regarding health care systems, in developed countries, E-Health and Telemedicine systems being developed to improve the quality of treatment. Such systems have many enhanced features like data management, reliable diagnoses; among them a distinct aspect is load reduction for the patient about data availability and management. Since MBD is increasing for every patient as the time passes and the patient consults again and again. Many schemes with efficient models are proposed to make this MBD available over the network by compression and network management tools. This exponential expansion of MBD has unmitigated the domains of MBD generating sources. In this paper, MBD collection, sources are discussed which ensure directly or indirectly how some domains are responsible to increase MBD more than normal ways.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"78 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extended definition of medical big data\",\"authors\":\"Fadia Shah, Jianping Li, Y. Shah, F. Shah\",\"doi\":\"10.1109/ICSESS.2017.8342967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The human life is always experiencing problems related to health. The survival is difficult if not treated well. For a better recovery, health problems are solved by treatment plans and medications; which are by health care professional called specialists, doctors or medical practitioners. Whatever these professionals recommend, it is well maintained in the form of reports. The collection of all this record makes Medical Big Data (MBD). Based upon the medical problem, this MBD includes medical history and prescription reports, test reports, X-Ray, CT Scan, and some other types of medical diagnosis. Traditional systems are now improved after the enhancements in telecommunication modes and innovation of smart devices with latest 5G technology has a huge contribution in every field of science. Regarding health care systems, in developed countries, E-Health and Telemedicine systems being developed to improve the quality of treatment. Such systems have many enhanced features like data management, reliable diagnoses; among them a distinct aspect is load reduction for the patient about data availability and management. Since MBD is increasing for every patient as the time passes and the patient consults again and again. Many schemes with efficient models are proposed to make this MBD available over the network by compression and network management tools. This exponential expansion of MBD has unmitigated the domains of MBD generating sources. In this paper, MBD collection, sources are discussed which ensure directly or indirectly how some domains are responsible to increase MBD more than normal ways.\",\"PeriodicalId\":179815,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"78 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2017.8342967\",\"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 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2017.8342967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The human life is always experiencing problems related to health. The survival is difficult if not treated well. For a better recovery, health problems are solved by treatment plans and medications; which are by health care professional called specialists, doctors or medical practitioners. Whatever these professionals recommend, it is well maintained in the form of reports. The collection of all this record makes Medical Big Data (MBD). Based upon the medical problem, this MBD includes medical history and prescription reports, test reports, X-Ray, CT Scan, and some other types of medical diagnosis. Traditional systems are now improved after the enhancements in telecommunication modes and innovation of smart devices with latest 5G technology has a huge contribution in every field of science. Regarding health care systems, in developed countries, E-Health and Telemedicine systems being developed to improve the quality of treatment. Such systems have many enhanced features like data management, reliable diagnoses; among them a distinct aspect is load reduction for the patient about data availability and management. Since MBD is increasing for every patient as the time passes and the patient consults again and again. Many schemes with efficient models are proposed to make this MBD available over the network by compression and network management tools. This exponential expansion of MBD has unmitigated the domains of MBD generating sources. In this paper, MBD collection, sources are discussed which ensure directly or indirectly how some domains are responsible to increase MBD more than normal ways.