Desarrollo de una aplicación web que permita agrupar automáticamente los medicamentos existentes en una base de datos

Abstract

Abstract:At present, computer systems related to health are presented with an extensive amount of information. For the management and treatment of them there are a variety of standards or ontologies that are responsible for structuring this information, so we have the case of Unified Medical Language System (UMLS) where it has an extensive number of data, which can make it difficult to understand the information . Therefore, the present titling work was developed to automatically group medications. For this work, two terminologies were used, such as: RxNorm and SNOMEDCT and the National Table of Basic Medicines (CNMB). The web application was created in Python with the help of libraries such as PyMyTerm that allows you to search and manage medical terminologies. This application allows you to enter a group of medication codes where you group them through direct or inverse relationships, found between them. It allows improving times and lowering the amount of information compared to traditional search engines. Finally, the results obtained by means of the Kappa coefficient were analyzed to determine if the data obtained are correct and to demonstrate the validity of the application.