Electronic system to monitoring vital signs in pregnancy through Random Forests

  • Juan Quintanar-Gómez Student
  • Daniel Robles-Camarillo Universidad Politécnica de Pachuca
  • Francisco Rafael Trejo-Macotela Universidad Politécnica de Pachuca
  • Ocotlán Díaz-Parra Universidad Politécnica de Pachuca
Keywords: Random Forest, Blood pressure, e-Health


Currently, the care of women in pregnancy plays an essential role in improving the clinical conditions of women and babies through early detection of hypertensive disorders during pregnancy. For this reason, the clinical guidelines define blood pressure monitoring as a component for the detection of those disorders. In response to this problem, this paper proposes the design of an electronic prototype focused on the acquisition of blood pulses and weight, transmitting the information obtained through Bluetooth to a computer that processes the information obtained through Random Forest, obtaining the patient's blood pressure. As a result, a MAE of 3.215 and 1.55 mmHg is obtained for the systolic and diastolic pressure, respectively. This work is directed to the use of e-Health and artificial intelligence techniques to improve the quality of life of women in the gestational stage or patients who need to monitor their blood pressure during their daily activities.

How to Cite
Quintanar-Gómez, J., Robles-Camarillo, D., Trejo-Macotela, F. R., & Díaz-Parra, O. (2020). Electronic system to monitoring vital signs in pregnancy through Random Forests. International Journal of Combinatorial Optimization Problems and Informatics, 12(1), 21-28. Retrieved from https://ijcopi.org/ojs/article/view/202

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