Model training method, mechanical ventilation phenotype recognition method and respirator

Abstract

The embodiment of the invention provides a model training method, a mechanical ventilation phenotype recognition method and a respirator. The model training method comprises the steps that multi-dimensional feature data of a testee are acquired, and the multi-dimensional feature data at least comprise basic and scoring features, breathing features, circulation and perfusion features and residual feature in-out quantity balance of the testee; complementation and correlation analysis are performed on the multi-dimensional feature data, so that analysis data can be obtained; and Gaussian mixtureclustering is carried out based on the analysis data, model parameters are learned, and a Gaussian mixture model is determined according to the model parameters. According to the embodiment of the invention, the phenotype of the corresponding disease is determined by collecting the characteristic parameters related to the certain disease treatment equipment, and subsequent doctors can perform classified treatment and nursing on different patients according to the combination of the phenotype type of the disease and the related observation data of the certain disease treatment equipment of thepatients.

Description

Technical field [0001] This application relates to critically ill patients with mechanical ventilation in ICU, and in particular to a model training method, a model-based automatic identification method of mechanical ventilation phenotype, and the application of the model to a ventilator. Background technique [0002] Inappropriate ventilation strategies during mechanical ventilation lead to lung injury. The mechanisms include high airway pressure or high tidal volume, which leads to lung pressure / volume injury, and low end-expiratory lung volume or atelectasis leads to repeated end lung units. Shear injuries of opening and collapse. In addition, in mechanical ventilation, even if there is no anatomical change in lung tissue, the action of various forces can induce the release of pro-inflammatory cytokines and the recruitment of white blood cells, thereby initiating the local inflammatory process, which is called biological injury. The first three are considered to be mechanical...

AI Technical Summary

Problems solved by technology

However, it has been found in clinical practice that the determinants of ventilator-induced lung injury are still controversial, even if the control of tidal volume and plateau pressure cannot fully guarantee safety

On the other hand, in clinical practice, various protective strategies may also be contradictory. For example, increasing PEEP will cause a corresponding increase in the plateau, and patients with more serious lesions and poorer lung compliance often reach the target plateau pressure. The lower the required PEEP

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