Evidential Reasoning Operations The following evidential reasoning operations, supported by Gister-CL, are theoretically sound yet have intuitive appeal.
The Evidence-Based Medicine and Set-Theoretic framework based on D-S Mathematical Theory of Evidence is described here –
PROPOSED: Data Mining utilizing Demptster-Shafer Mathematical Theory of Evidence combined with Rough Set Theory
- Certainty assigned to a piece of evidence (expresses the degree of confidence that a system has in its observations of the evidence)
- Certainty assigned to a mapping (expresses the degree of confidence that an expert has in his definition of the mapping)
- R: I » O Combining ( 1 ) and ( 2) a knowledge processing scheme deduces the most likely hypothesis (conclusion)
The practice of Evidenced-Based Medicine (EBM) is triggered by patient encounters which generates questions (queries) about
- effect of therapy
- utility of diagnostic tests
- prognosis of diseases
- etiology of disorders
EBM requires –
- new skills of clinicians
- efficient literature-searching
- application of formal rules of evidence in evaluating the clinical literature
Evidence-Based Medical / Clinical Evidence practice includes the integration of clinical expertise, patient values, and the best evidence into the decision making process for patient care.
- Clinical expertise » clinician’s cumulated experience, education, and clinical Skill
- Patient values » personal and unique concerns, expectation and values
- Best evidence » found in clinically relevant research that has been conducted using sound methodology
I propose to utilize the combination of Dempster-Shafer Mathematical Theory of Evidence and Rough Set Theory to assist in this integration effort as part of the data mining component of EBM.
