Estimating the incidence of spontaneous breathing effort of mechanically ventilated patients using a non-linear auto regressive (NARX) model

• Main Authors: Mat Nor, Mohd Basri, Yeong, Shiong Chiew, Damanhuri, Nor Salwa, Mohd zainol, Nurhidayah, Othman, Nor Azlan, Chase, Geoffrey, Muhammad, Zuraida
• Format: Article
• Language: English
• Published: Elsevier 2022
• Subjects: R Medicine (General); RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/97854/1/97854_Estimating%20the%20incidence%20of%20spontaneous%20breathing%20effort%20of%20mechanically%20ventilated%20patients%20using%20a%20non-linear%20auto%20regressive%20%28NARX%29%20model.pdf; http://irep.iium.edu.my/97854/; https://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine; https://doi.org/10.1016/j.cmpb.2022.106835

Background and objective: Mechanical ventilation (MV) provides breathing support for acute respiratory distress syndrome (ARDS) patients in the intensive care unit, but is difficult to optimize. Too much, or too little of pressure or volume support can cause further ventilator-induced lung injury,...