J. Zvarova and M. Studeny:
Information theoretical approach to constitution and reduction of
medical data. International Journal of Medical Informatics
45 (1997), n. 1-2, pp. 65-74.
- In medical decision problems, one meets the problem
to find the most relevant piece of information for decision making.
The paper is focused on a special case of diagnostic decision making when
one can measure many symptoms and signs and one has to make diagnostic
conclusions. The problem is as follows. One can measure symptoms and
signs at a patient and has to decide about a possible diagnosis. One knows
that the symptoms and signs have different costs when they are examined.
Each symptom, sign or their combination has a different predictive value
for the diagnosis. The task is to find out the combination of symptoms
from given data with sufficient information value for the diagnostic
decision making. Moreover, one simultaneously looks for a combination
of symptoms and signs with the minimal costs among those carrying
sufficient information. The paper describes approaches based on
information measures of statistical dependence and shows the basic
idea of the program CORE (COnstitution and REduction of data) which
was prepared for practical applications in medicine.
- AMS classification 92C50, 94A17 (68T30)
- constitution of medical data
- reduction of medical data
- measure of statistical dependence
- conditional independence
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