Principal > Alumnos > José Salomón Altamirano Flores

José Salomón Altamirano Flores

   »  Generación: Febrero2016
   »  Grado: Doctorado en Ciencias de la Comunicaci├│n
   »  Asesor: Juan Carlos Cuevas Tello
   »  Co-asesor: Dr. Christián Alberto García Sepúlveda
   »  Línea de Investigación: Sistemas Inteligentes | Webpage | Currículum

Machine learning approaches for pattern recognition on HIV data


Human Immunodeficiency Virus (HIV) and its transition to Acquired Immunodeficiency Syndrome (AIDS) is still a health problem worldwide. Some virus and/or patient genetic markers had been found to influence the infection outcome. However, it is necessary to continue on the search of new possible patterns that might also have an impact on the transition from HIV to AIDS. With this objective, this work presents the results of the application of different Artificial Intelligence approaches on two HIV’s related datasets. The results show combinations of genetic markers that might have a biological influence on the infection course. This could help to make a better prognosis and eventually to a more personalized treatment.