Y. Dogan, Gozde Yildirmaz, Sena Goksu Cansabuncu, Alp Kut, Reyat Yilmaz, S. Bor, Y. Alev, Ali Murat Ergin
{"title":"ege大学医学院消化内科反流与运动数据库的设计及基于数据挖掘的分析","authors":"Y. Dogan, Gozde Yildirmaz, Sena Goksu Cansabuncu, Alp Kut, Reyat Yilmaz, S. Bor, Y. Alev, Ali Murat Ergin","doi":"10.1109/BIYOMUT.2015.7369436","DOIUrl":null,"url":null,"abstract":"The group of Ege Reflux has been had records of reflux patients and file system since 2000. However it hasn't database systems for patient files. In this study will provide to web based construct 6893 patient records which are tracking by Ege University faculty of medicine, group of study of reflux. There is no determined reflux software anywhere that is planned software. Therefore this software has a potential that may be used national or international units. The data can be transform interpretable data and transport to designed database that has come from patient tracking system. A data warehouse can be construct for web based decision support system that will develop by acquired data. With data mining algorithms will provide a decision support system that can give their analysis results to the physician. And it will provide a mechanism to perform data analysis. All kept in the archives of patient demographic information, lab results and tests in accordance with the patient information with security rules will be collected in a common database. This system will allow personnel of health to easily access the system by using different platforms. It also provides for entry of up-to-date information and rapid queries of patient information while the treatment process. This software will provide academic, operational, technological and economical a lots of benefits.","PeriodicalId":143218,"journal":{"name":"2015 19th National Biomedical Engineering Meeting (BIYOMUT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing of reflux and motility database in ege university faculty of medicine, department of gastroenterology and making analysis based on data mining\",\"authors\":\"Y. Dogan, Gozde Yildirmaz, Sena Goksu Cansabuncu, Alp Kut, Reyat Yilmaz, S. Bor, Y. Alev, Ali Murat Ergin\",\"doi\":\"10.1109/BIYOMUT.2015.7369436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The group of Ege Reflux has been had records of reflux patients and file system since 2000. However it hasn't database systems for patient files. In this study will provide to web based construct 6893 patient records which are tracking by Ege University faculty of medicine, group of study of reflux. There is no determined reflux software anywhere that is planned software. Therefore this software has a potential that may be used national or international units. The data can be transform interpretable data and transport to designed database that has come from patient tracking system. A data warehouse can be construct for web based decision support system that will develop by acquired data. With data mining algorithms will provide a decision support system that can give their analysis results to the physician. And it will provide a mechanism to perform data analysis. All kept in the archives of patient demographic information, lab results and tests in accordance with the patient information with security rules will be collected in a common database. This system will allow personnel of health to easily access the system by using different platforms. It also provides for entry of up-to-date information and rapid queries of patient information while the treatment process. This software will provide academic, operational, technological and economical a lots of benefits.\",\"PeriodicalId\":143218,\"journal\":{\"name\":\"2015 19th National Biomedical Engineering Meeting (BIYOMUT)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 19th National Biomedical Engineering Meeting (BIYOMUT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIYOMUT.2015.7369436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 19th National Biomedical Engineering Meeting (BIYOMUT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2015.7369436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing of reflux and motility database in ege university faculty of medicine, department of gastroenterology and making analysis based on data mining
The group of Ege Reflux has been had records of reflux patients and file system since 2000. However it hasn't database systems for patient files. In this study will provide to web based construct 6893 patient records which are tracking by Ege University faculty of medicine, group of study of reflux. There is no determined reflux software anywhere that is planned software. Therefore this software has a potential that may be used national or international units. The data can be transform interpretable data and transport to designed database that has come from patient tracking system. A data warehouse can be construct for web based decision support system that will develop by acquired data. With data mining algorithms will provide a decision support system that can give their analysis results to the physician. And it will provide a mechanism to perform data analysis. All kept in the archives of patient demographic information, lab results and tests in accordance with the patient information with security rules will be collected in a common database. This system will allow personnel of health to easily access the system by using different platforms. It also provides for entry of up-to-date information and rapid queries of patient information while the treatment process. This software will provide academic, operational, technological and economical a lots of benefits.