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RE: Reviewing the Banff demo ontology infrastructure

From: Kashyap, Vipul <VKASHYAP1@PARTNERS.ORG>
Date: Mon, 11 Jun 2007 09:54:21 -0400
Message-ID: <DBA3C02EAD0DC14BBB667C345EE2D1244287C7@PHSXMB20.partners.org>
To: "Daniel Rubin" <rubin@med.stanford.edu>, <samwald@gmx.at>, <public-semweb-lifesci@w3.org>
Cc: <ogbujic@ccf.org>

> "Evidence" is important, but is complex. If evidence is from
> collection of facts, then exactly how do those facts provide the
> evidence (there are many types of analyses you can do on raw data to
> produce evidence). So evidence is a function of the facts, the
> analysis method, the method of inference, and perhaps even the
> observer (e.g., if the evidence is a radiology image or physical
> exam, there is inter-observer variation).
> And it's definitely necessary to relate the hypotheses to the
> evidence with probabilities.

[VK] We are working on modeling nursing assessments right now ...
So a given observation (fact) forms the basis for the assessment,
there is a risk scale associated with the assessment, which typically
aggregates component assessment scores (possibly weighted) and a classification
rule which stratrifies patients according to their risk score. The analysis
method is basically "clinical judgement" and the method of inference is

Interesting... your definition of evidence is general enough.. may be it can
capture use cases both in the biological and clinical domain?



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Received on Monday, 11 June 2007 13:56:41 UTC

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