Xref: utzoo bionet.software:963 sci.med:24344 Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!ub!csn!ccncsu!purdue!mentor.cc.purdue.edu!noose.ecn.purdue.edu!samsung!cs.utexas.edu!bcm!bionet!bio.embnet.se!sunic!mcsun!ukc!icdoc!qmw-cs!sayyad From: sayyad@cs.qmw.ac.uk (Mohiddin) Newsgroups: bionet.software,sci.med,uk.ikbs Subject: Re: Looking for AI/RHEUM Message-ID: <3544@sequent.cs.qmw.ac.uk> Date: 12 Apr 91 09:48:04 GMT References: <9104021957.AA17618@darwin> <4185@stl.stc.co.uk> <1991Apr8.145927.3357@dsl.pitt.edu> Followup-To: bionet.software Organization: Computer Science Dept, QMW, University of London, UK. Lines: 19 In early 80's K.P Adlassnig developed a CADIAG-2/RHEUMA using fuzzy logic. Authors claim there is 94.5% success rate with their system in diagnosing Rheumatoid, gout, Bechterew's, Sjogren's disease, systemic lupus erythematous, Rieter's disease etc., The above is from reference "Fuzzy set theory in medical diagnosis", KPA, IEEE Tr. Systems, man and Cybernetics, Vol 16/2 Mar/April 1986. Recently John Yen (while he was at Univ. of California, Berkeley) built a system with CADIAG-2's data and it is called GERTIS (based on Evidential reasoning). JY claims (I not sure where I read) it became a commercial product. JY is now with Texas A&M Univ., College Station, TX 77843. -------- Sayyad