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Table 7. Specific therapy options
Pathology
Therapy options
Heart Failure
THIAZ,BB,ACEI,ARB,ALDO ANT
Post miocardial Infarction
BB,ACEI,ALDO ANT
CVDR=High or CVDR=Very High
THIAZ,BB,ACEI,CCB
Diabetes
THIAZ,BB,ACEI,ARB,CCB
Chronic kidney disease
ACEI,ARB
Recurrent stroke prevention
THIAZ,ACEI
for each of the pathologies that the patient could suffer that interact with the
hypertension's drug therapy. We have followed the recommendations of [10, 11],
summarized in Table 7.
What the corresponding procedure we have implemented does is to consider
sets of drug therapies for each pathology, and to intersect them (using Maple 's
intersect command), according to the individual's sufferings.
7V ifi on
Logic verification of the first subsystem (CDV risk evaluation) is not necessary,
as disjoint cases are described. Almost the same can be said about the second
subsystem (detection, evaluation and treatment of hypertension), where it is
enough to check some details, e.g. the compatibility of medications when different
pathologies appear simultaneously.
We have checked the conjunction of all pathologies, together with the different
BP categories, and there were no anomalies found. For instance, if an individual
with hypertension of stage 1 would answer β€œyes” to all questions, then we would
have (input lines are preceded by β€œ > ”, meanwhile output lines are centered):
> treat_HBP();
Lifestyle modifications suggested.
Therapy Options:
{ACEI}
8U rIn e
A friendly interface, similar to the one implemented for the CoCoA -based Anore-
xia detection expert system [12], that simplifies data introduction and hides the
computations carried out, has been implemented using Maple 's Maplets (Figure
4). In order to spread this work, we plan to translate the code into a compilable
computer language and produce a stand-alone application.
9
Conclusions
We should stress on that interaction with the experts is necessary in order to
search for the best representation of knowledge from the medical viewpoint.
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