Copy Link
Add to Bookmark
Report
IRList Digest Volume 1 Number 03
IRList Digest Monday, 19 Aug 1985 Volume 1 : Issue 3
Today's Topics:
Query - comments on knowledge engineering
Research Interests - medical AI and decision support
EMAIL - error in BITNET address in earlier welcome message
- startup of local distribution lists
Presentation - Medical Management Advice System
Humor - new temporal logic
----------------------------------------------------------------------
From: Tom Scott <scott@BGSU>
Date: Sat, 20 Jul 85 12:46:51 edt
Ed:
Congratulations on the IRList newsgroup. It's an excellent
idea. Please add me to the mailing list. Have you read my article in
Ken Laws's AIList (volume 3 #92)? Your comments on the vision of
knowledge engineering that I'm preparing are welcome. ...
[Perhaps you would like to send an excerpt of your AIList article? We
can then all make comments. IRList is to help each of us obtain a
broader vision of the field! - Ed]
Jai Guru Dev,
Tom Scott UUCP: cbosgd!osu-eddie!bgsuvax!scott
Dept. of Math. & Stat. CSNET/ARPANET: scott@bgsu
Bowling Green State Univ. ATT: 419-372-2636
Bowling Green, OH
43403-0221
------------------------------
Subj: From: klahr@NYU-CSD2
Date: Wed, 24 Jul 85 16:45:26 edt
Your IRList sounds like a good idea. Could I subscribe to it? I am an MD-PhD
student working on medical AI and decision support systems. Thank you.
Sincerely...Phillip Klahr KLAHR@NYU
------------------------------
From: Anton Tomas <TOMAS%HLERUL5.BITNET@WISCVM>
Date: 23-JUL-1985 23:26:17 MET
Subject: NEW MEMBER IRLIST
Following your message in AIlist, I should be able to reach
you on BITNET, but irlist-request@vpics1 didn't work.
[Thanks for informing me! I have corrected the Welcome message
accordingly. fox@vpics1 & sigir@vpics1 DO work for BITNET. - Ed]
Anton J Tomas University of Leiden
School of Medicine
BITNET: TOMAS@HLERUL5 Medical Informatics
ARPA: TOMAS%HLERUL5.BITNET@WISCVM.ARPA P.O.Box 9604, 2300RC Leiden
Phone: +31 71 148333 ext 4187 or 3610 The Netherlands
------------------------------
From: Christopher Schmidt <SCHMIDT@SUMEX-AIM>
Date: Thu 18 Jul 85 10:04:31-PDT
Subject: sigir list
To: fox.vpi@CSNET-RELAY
Please add Incoming-IRList@SUMEX-AIM to the IRLIST distribution.
This forwards into a bboard locally where our users will pick it up.
At the same time, please remove Richer@SUMEX-AIM from the list.
Thanks,
--Christopher
[IRList members at SUMEX-AIM please note: I will remove all addresses of
people at SUMEX-AIM as per the above request, before the next issue.
Other members please note: several locations have groups of people
working on information retrieval (ex. faculty, students, staff,
programmers). You may wish to have local redistribution set up,
open to all interested parties. - Ed]
------------------------------
From: Glenn Rennels <Rennels@SUMEX-AIM>
Date: Thu 25 Jul 85 09:07:46-PDT
Subject: Orals - Deep Models from Clinical Literature (SU)
ReSent-From: Ken Laws <Laws@SRI-AI>
University Orals Examination
"A Structured Representation of the Clinical Literature
and its Use in a Medical Management Advice System"
Glenn Rennels
Medical Information Sciences
Wednesday, July 31, 2:15 pm
M-112 Stanford Medical Center
ABSTRACT
Published reports of clinical trials are important to medical
practice. This biostatistical literature allows physicians to keep
abreast of rapidly changing medical knowledge. There has been little
or no integration of the clinical literature with computer-based
medical advice systems. More commonly, these programs use human
pathophysiology to explain disease and to direct physicians in their
decision making. This "causal modelling" work has correlates in
non-medical AI research: programs that can diagnose faults in
electronic equipment. In medical AI, the representation of
multi-layered causal models has been called "deep models" and
continues to be a major research focus.
The thesis of this research is that the clinical literature forms the
basis of a deep model of clinical decision making. A computer system
ignoring this model will be severely lacking in its relevance to the
practitioner. The goals of this research are to conceptualize the
model and to test the conceptualization by implementing a computer
program that draws upon structured representations of the clinical
literature in order to critique plans for medical management. The
application domain is the management of primary breast cancer, but it
is emphasized that the issues are general and arise in every medical
management domain.
There are at least three problems that are relevant to building a
computer system such as the one proposed; these are the principal
topics of this talk. First of all, using the literature for clinical
advice requires assessing the distance from a study to the clinical
decision at hand. Second, there must be a method for resolving
conflicts between studies. Finally, it is desirable that the system
have at least a rough understanding of the physicians objectives and
how therapy choice incorporates those, so that the system can discuss
study results with reference to those objectives.
[ PhD Oral Examinations in Medical Information Sciences are
administered approximately 1 year prior to the completion
of the dissertation. ]
------------------------------
From: Ken Laws <Laws@SRI-AI>
Date: Wed 7 Aug 85 22:29:48-PDT
Subject: [Robert Sansom@CMU-CS-SPICE.ARPA: Time Machines?]
This note from the CMU bboard may amuse IRList readers.
-- Ken Laws
Return-Path: <rds@cmu-cs-spice.arpa>
Date: Tue 06 Aug 85 11:46:45-EDT
From: Robert Sansom@CMU-CS-SPICE.ARPA
Subject: Time Machines?
Received: from CMU-CS-K.ARPA by CMU-CS-SPICE.ARPA; 6 Aug 85 11:28:21 EDT
Received: from CMU-CC-TE.ARPA by CMU-CS-K.ARPA; 6 Aug 85 11:28:22 EDT
Received: ID <xx@CMU-CC-TE.ARPA>; 6 Aug 85 11:29:27 EDT
Date: 6 Aug 85 11:29:27 EDT
The mail starts at Tops-E at 11:29:27.
A little more than a minute earlier it is received by the K Vax.
A second earlier it is received by the Spice Vax.
Isn't computer science wonderful?
------------------------------
END OF IRList Digest
********************
