L. A. Leung, S. Finkelstein, J. Slagle, W. Warwick
{"title":"囊性纤维化患者管理的专家系统方法","authors":"L. A. Leung, S. Finkelstein, J. Slagle, W. Warwick","doi":"10.1109/IEMBS.1988.95187","DOIUrl":null,"url":null,"abstract":"The use of health diaries to monitor patients with chronic diseases has often been complicated by difficulties encountered in data quality assurance and interpretation. Conventional data-handling schemes and statistical approaches often cannot handle all the complexities involved. A prototype expert system, MONITOR, has been developed to evaluate the home measurement data obtained from cystic fibrosis (CF) outpatients by approximating the reasoning process of a CF expert clinician. The system was developed initially for patients within the 6-12-year age range. It has been extended successfully to accommodate younger patients with an 87% correct classification record.<<ETX>>","PeriodicalId":227170,"journal":{"name":"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An expert system approach to cystic fibrosis patient management\",\"authors\":\"L. A. Leung, S. Finkelstein, J. Slagle, W. Warwick\",\"doi\":\"10.1109/IEMBS.1988.95187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of health diaries to monitor patients with chronic diseases has often been complicated by difficulties encountered in data quality assurance and interpretation. Conventional data-handling schemes and statistical approaches often cannot handle all the complexities involved. A prototype expert system, MONITOR, has been developed to evaluate the home measurement data obtained from cystic fibrosis (CF) outpatients by approximating the reasoning process of a CF expert clinician. The system was developed initially for patients within the 6-12-year age range. It has been extended successfully to accommodate younger patients with an 87% correct classification record.<<ETX>>\",\"PeriodicalId\":227170,\"journal\":{\"name\":\"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1988.95187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1988.95187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An expert system approach to cystic fibrosis patient management
The use of health diaries to monitor patients with chronic diseases has often been complicated by difficulties encountered in data quality assurance and interpretation. Conventional data-handling schemes and statistical approaches often cannot handle all the complexities involved. A prototype expert system, MONITOR, has been developed to evaluate the home measurement data obtained from cystic fibrosis (CF) outpatients by approximating the reasoning process of a CF expert clinician. The system was developed initially for patients within the 6-12-year age range. It has been extended successfully to accommodate younger patients with an 87% correct classification record.<>