Arellano, AmauryAmauryArellanoBustamante, ErickErickBustamanteGarza, CarlosCarlosGarzaPonce, HiramHiramPonce2023-07-212023-07-21202297830311949559783031194962https://scripta.up.edu.mx/handle/20.500.12552/418310.1007/978-3-031-19496-2_27The mechanical ventilation is one of the most frequent methods used in Intensive Care Units (ICUs) to improve the breathing of patients. During the early days of the COVID-19 pandemic, the use of mechanical ventilators has been crucial. In this work, we propose to build a Lasso regression model based on lung simulators for predicting the airway pressure in the respiratory circuit of ventilators while breathing. We model the whole breathing process in two separate states. After that, we analyze the feature importance in the regression model to better understand the ventilator pressure prediction. We anticipate this model would help improving the patient’s health and overcoming the cost barrier of new methods for mechanical ventilators. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.enAirway pressureLasso regressionMachine learningMechanical ventilationSimulatorsForecastingResource Types::text::book::book part