Desarrollo de una aplicación web que permita identificar automáticamente las enfermedades y tratamientos relacionados

Abstract

Abstract:This work titration (TT) focuses on automatically identify relationships that may exist between diseases and treatments, to be framed in medical terminology to international and national level, makes use of UMLS (NDF-RT) standard and the structure established for the CNMB. a Web application was developed using the Python language bookstores as PyMyTerm offering preset search methods with medical terminologies. The application is responsible for grouping relationships between diseases and treatments or vice versa starting from a csv file with codes of diseases and treatments. The purpose is to facilitate the user to identify relationships and reduce operation times and minimize the information it is very tedious search currently found in the UMLS browser. It can integrate other vocabularies and develop a system that improves the health sector in the country. Finally, the results were able to identify as many relationships between treatments and diseases which were analyzed using the kappa coefficient to determine the effectiveness of these.