Using soft computing to define standards of care in glaucoma monitoring
A fuzzy knowledge base encapsulating core expert rules for glaucoma follow up is developed and subsequently refined into a standard of care by reconciling several expert opinions.The Learning from Examples (LFE) ”1” technique is used in addition to expert interviews to generate fuzzy rules from numerical data,and soft competition defines a fuzzy consensus metrics for the expert opinions.Web-based extension of this system into a comprehensive set of e-Health services for the glaucoma community enables,besides wide accessibility of the expert knowledge,continuous improvement of the core rule set (standard of care) with the perspectives of several experts.
Fuzzy knowledge base Soft competition Consensus analysis Standards of care Glaucoma e-Health
M.Ulieru A.C.S.Crichton M Rizzi C.Karanicolas
Emergent Information Systems Laboratory,Department of Electrical and Computer Engineering,The Univer Faculty of Medicine Department of Surgery,2500 University Dr NW,T2N 1N4 Calgary,AB,Canada
国内会议
南京
英文
1-12
2013-11-01（万方平台首次上网日期，不代表论文的发表时间）