The objective of this research is to develop and validate a classification system based on artificial neural networks (ANN) for the early diagnosis of dengue, evaluating its performance using key indicators such as accuracy, sensitivity and specificity. The methodological approach is mixed, with a non-experimental predictive design, using clinical data from 10,000 patients from Bucaramanga and validating the system with an external sample of 30 patients from the Regional Hospital of Loreto. The system was implemented with advanced machine learning techniques, adjusting hyperparameters and evaluating its effectiveness through internal and external validations. The results show that the developed model achieved an accuracy of 98.2% in internal validation and 97.5% in external validation, with consistent levels of sensitivity (95.9% 96.8%) and specificity (97.5%-98.1%). Furthermore, the sys...