Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction.

ABSTRACT: The utilization of mechanical ventilation is of utmost importance in the management of individuals afflicted with severe pulmonary conditions. During periods of a pandemic, it becomes imperative to build ventilators that possess the capability to autonomously adapt parameters over the course of treatment. In order to fulfil this requirement, a research investigation was undertaken with the aim of forecasting the magnitude of pressure applied on the patient by the ventilator. The aforementioned forecast was derived from a comprehensive analysis of many variables, including the ventilator's characteristics and the patient's medical state. This analysis was conducted utilizing a sophisticated computational model referred to as Long Short-Term Memory (LSTM). To enhance the predictive accuracy

SUBMITTER: Ahmed FR 

PROVIDER: S-EPMC10684522 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature