- From: <helen.chen@agfa.com>
- Date: Wed, 27 Sep 2006 08:54:13 -0400
- To: VKASHYAP1@PARTNERS.ORG
- Cc: public-semweb-lifesci@w3.org
- Message-ID: <OFF6CD69B0.6B768FF3-ON852571F6.00466246-852571F6.0067D309@agfa.com>
Hi, Vipul
Thanks for your "workaround" information.
This is the email I received earlier from Samson. Great minds indeed come
to the same place :)
Jos had implemented a similar solution. One step further, you can have a
triple to specify the N in the statement of (at least N out of M signs) so
you don't have to be restricted to "at least 2" conditions.
Helen
----- Forwarded by Helen Chen/AMPJB/AGFA on 09/27/2006 02:48 PM -----
Samson Tu <swt@stanford.edu>
09/26/2006 06:57 PM
To
Helen Chen/AMPJB/AGFA@AGFA
cc
Subject
Re: Fw: CAP use case - Reasoning on Weighted Condition and Fuzzy
Reasoning?
Not sure whether this is going to help:
A standard way to do counting with rule programming is to have a bunch
of rules of the form:
conditioni AND (count ?n) =>
( retract (count ?n)) && assert (count ?n + 1))
and then use a lower priority rule
(count ?n:&(?n >= 2)) => obtain chest X-ray.
In the 80s people found that, if you need to manage "weights" and
uncertainties in diagnosis, it's not a good idea to use rules. That's
when Bayesian network become useful.
SAmson
helen.chen@agfa.com wrote:
>
> I am forwarding this discussion at ACPP to the HCLS list, hope to get
> some input on this tread.
>
> ----- Forwarded by Helen Chen/AMPJB/AGFA on 09/26/2006 04:53 PM -----
> *Helen Chen/AMPJB/AGFA*
>
> 09/26/2006 08:30 AM
>
>
> To
> Chimezie Ogbuji
> cc
> cebarr01@yahoo.com, aziz@boxwala.com,
sam.brandt@siemens.com,
> THONGSERMEIER@PARTNERS.ORG, ogbujic@bio.ri.ccf.org,
> davide@landcglobal.com, DAN.RUSSLER@ORACLE.COM
> Subject
> CAP use case
>
>
>
>
>
>
>
>
> Hi, Chimezie
>
> As per our discussion last Tcon, here is the Guideline for Managing
> Community Acquired Pneumonia (CAP).
>
>
http://www.guideline.gov/summary/summary.aspx?doc_id=9398&nbr=005034&string=community+AND+acquired+AND+pneumonia
>
>
> The algorithm is here :
>
> http://www.guideline.gov/algorithm/5034/NGC-5034_1.html
>
> Notice in the step 3, it says:
>
> 3: "Obtain chest X-ray, especially if patient has two or more of these
> signs:
> Temp > 100F
> Pulse > 100
> Decreased breath sounds
> Rales
> Respiratory rate > 20
>
> Now we are facing the new problem of modelling "two or more" facts of a
> necessary condition for "order chest X-ray" in the knowledge base.
> Furthermore, doctors will likely tell you that no only they need to
> express "at least two or more", they also want to express "fact A
> carries more weight or more indicative to a diagnosis than fact B". If
> we were to model these "weighted condition", we are opening a whole can
> of new worms, and I don't think any SW reasoners now can do reasoning on
> this.
>
--
Samson Tu email: swt@stanford.edu
Senior Research Scientist web: www.stanford.edu/~swt/
Stanford Medical Informatics phone: 1-650-725-3391
Stanford University fax: 1-650-725-7944
Received on Wednesday, 27 September 2006 12:54:33 UTC