Olivera Hernández H.F., Martínez-González C.L.

Diagnosis in high blood pressure is based on a correct measurement of the patient’s blood pressure and psychosocial risk factors. So, for example, in underdeveloped countries such as Mexico, prior diagnosis of this disease predominates in the female gender with 70.5%. The perception of this condition depends on the medical omissions of specialists, direct factors such as effective communication between the patient and the health team are being considered, monitoring of clinical history and as indirect factors the efficient access in patient care, compliance and quality processes.

In this work, we analyzed the effect of random variables of the heart rate mean, mean, minimum, maximum and out of range of systolic blood pressure, mean, minimum, maximum and out of range of diastolic blood pressure blood pressure measurements on a group of patients with work-based stimuli, using data from measurements that were collected through an outpatient monitor with a sampling period every 30 minutes and 16 measurements per patient, were stored in a Docker database container for further analysis.

A total of 120 undiagnosed patients between the ages of 20 and 50 participated in two groups: a) 60 patients with lower work stimuli and b) 60 patients with higher occupational stimuli. The variables that had an effect on blood pressure data measurements were the mean heart rate, mean of diastolic pressure and minimal systolic pressure.

These results were similar using parametric tests (kolmogorov-Smirnov, leneve test, t-student) and nonparametric (Mann-Whitney). In addition, suggest evaluating these variables with supervised ML algorithms by considering the psychosocial factors of patient’s diagnosis of high blood pressure.