Use of Data Mining to Predict the Influx of Patients to Primary Healthcare Centres and Construction of an Expert System

In any productive sector, predictive tools are crucial for optimal management and decision-making. the health it is especially important to have information available in advance, as this not only means optimizing resources, but also improving patient care. This work focuses on of healthcare resources primary care centres. The main objective develop a model capable predicting number patients who will demand centre daily basis. integrated into decision support system that accessible easy use by manager through web application. case, data from city Jaén, Spain, were used. was estimated using spatial-temporal training data, five years, series meteorological data. Different regression algorithms been employed. workflow requires selecting parameters influence prediction discarding those distort model. contribution research attending with absolute errors better than 3%, which decision-making sizing centre.