The program analyze a parameters series, inserts like anamnesticals data, to construct the prescription more right for the single hypertensive patient. The calculus algorithm is based on back-propagation neural networks, previously trained with an adequate number of examples.
In the interpretation of the results have greater importance the indications for the contraindicate drugs: in case of contradictory result, the preference of reliability is for the contraindicate drugs.
This is a beta version with all the inexactness and the shortages of the beta; the next final program will be more complete and precise, also with a schematic way for the individuation of the aetiology of the hypertension in each single case and the calculus of the cardiovascular risk.
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