Search Results - "Miramontes, I."

OPTIMIZATION OF AN ARTIFICIAL NEURONAL NETWORK FOR DIAGNOSIS OF DEVELOP HYPERTENSION WITH 7 RISK FACTORS by Melin, P, Prado-Arechiga, G, Miramontes, I, Carvajal, O

“…OBJECTIVE:Implement an artificial neural network (ANN) inspired by the Framingham Heart Study, which will provide the risk that a patient has in developing…”
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CLASSIFICATION OF NOCTURNAL BLOOD PRESSURE PROFILE USING FUZZY SYSTEMS by Melin, P, Prado-Arechiga, G, Miramontes, I, Guzman, J.C

“…OBJECTIVE:Implement a fuzzy inference system for a nocturnal profile classification model, for knowing the nocturnal blood pressure behavior of the patients…”
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[PP.15.16] A NEW MODEL FOR OBTAINING THE RISK ASSESSMENT OF DEVELOPING HYPERTENSION BASED ON ARTIFICIAL NEURAL NETWORKS by Melin, P., Miramontes, I., Prado-Arechiga, G.

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HYPERTENSION DIAGNOSIS WITH A SOFT COMPUTING MODEL USING A GRAPHICAL USER INTERFACE by Melin, P., Prado-Arechiga, G., Miramontes, I., Guzman, J.C.

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A COMPARATIVE STUDY BETWEEN EUROPEAN GUIDELINES AND AMERICAN GUIDELINES USING FUZZY SYSTEMS FOR THE CLASSIFICATION OF BLOOD PRESSURE by Melin, P., Prado-Arechiga, G., Guzman, J.C., Miramontes, I.

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[PP.08.15] A NEW ARTIFICIAL INTELLIGENCE METHOD BASED ON MODULAR NEURAL NETWORKS FOR CLASSIFICATION OF ARTERIAL HYPERTENSION by Melin, P., Pulido, M., Miramontes, I., Prado-Arechiga, G.

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