Medical Assistant: A Mobile Application for Medication Prescription

Authors

  • Silverio Pérez Cáceres Universidad Veracruzana, Facultad de Ingeniería en Electrónica y Comunicaciones
  • Abner Reyes Ramírez Universidad Veracruzana, Facultad de Ingeniería en Electrónica y Comunicaciones
  • Efrén Morales Mendoza Universidad Veracruzana, Facultad de Ingeniería en Electrónica y Comunicaciones
  • Carlos Rodríguez Flores Universidad Veracruzana, Facultad de Ingeniería en Electrónica y Comunicaciones
  • Nayely Morales Ramírez Universidad Veracruzana, Facultad de Ingeniería en Electrónica y Comunicaciones

DOI:

https://doi.org/10.13053/cys-22-4-3086

Keywords:

Data mining, allergic rhinitis, decision tree, prescription of drugs

Abstract

The use of a software application, designed to support medical specialists in the selection of the drug to be prescribed, is presented and evaluated. The “Medical Assistant” application evaluates the patient's data and through a decision tree, obtained from the administering of this data mining technique on the information of successful cases in the prescription of medicines, suggests the most appropriate medication according to the patient's data. In this initial version only the information of patients with Allergic Rhinitis was considered; Surveys were conducted to know the opinion of the specialists regarding the use of the application, which results revealed that specialists evaluated the use of the Medical Assistant in a range from regular to good.

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Published

2018-12-30

Issue

Vol. 22 No. 4 (2018): Topic Trends in Computing Research (Guest Editors: A. Aguilar-Meléndez, E. Moya-Sánchez)

Section

Articles of the Thematic Issue

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