*Proceeding Paper* **Training of Machine Learning Models for Recurrence Prediction in Patients with Respiratory Pathologies †**

**Ainhoa Molinero Rodríguez 1,\*, Carla Guerra Tort 1,\*, Victoria Suárez Ulloa 2, José M. López Gestal 3, Javier Pereira <sup>1</sup> and Vanessa Aguiar Pulido <sup>4</sup>**


**Abstract:** Information extracted from electronic health records (EHRs) is used for predictive tasks and clinical pattern recognition. Machine learning techniques also allow the extraction of knowledge from EHR. This study is a continuation of previous work in which EHRs were exploited to make predictions about patients with respiratory diseases. In this study, we will try to predict the recurrence of patients with respiratory diseases using four different machine learning algorithms.

**Keywords:** electronic health record (EHR); machine learning; linear discriminant analysis; quadratic discriminant analysis; k-nearest neighbors; decision trees
