Health analysis from the trend variability of patients´ vital signs with an artificial neuromolecular system

Vital signs provide critical information about the health of a patient. There are four vital signs commonly used by healthcare professionals to evaluate a patient´s health. These are body temperature, pulse rate, respiration rate (rate of breathing), and blood pressure. The artificial neuromolecular system previously constructed in our group is a biologically motivated system that captures the biological structure-function relationships, and that possesses several features that facilitate evolutionary learning. This paper describes the application of the ANM system to evaluate the health of patients in respiration intensive care unit (RICU) from their vital signs. Experimental results show that the ANM system achieves a satisfactory result in accessing and predicting the health of patients, based on their vital signs.