Abstract: The invention provides a system and a method thereof for establishing an extubation prediction using a machine learning model capable of obtaining an extubation prediction model and key features used by the extubation prediction model through training and/or verification of a machine learning model, and analyzing key feature data of a patient in real time through the extubation prediction model in order to obtain a possibility of extubation of the patient and its related explanation. Accordingly, the system and the method thereof for establishing the extubation prediction using the machine learning model disclosed in the invention are used as a tool for clinical caregivers to evaluate extubation in order to reduce a possibility of reintubation due to inability to breathe spontaneously after extubation.

Abstract: A semiconductor device includes a fin extending from a substrate and including a first fin end, a separation structure separating the first fin end from an adjacent fin end of another fin, a dummy gate spacer along sidewalls of the separation structure and the fin, a first epitaxial source/drain region in the fin and adjacent the separation structure, and a residue of a dummy gate material in a corner region between the dummy gate spacer and the first fin end. The first fin end protrudes from the dummy gate spacer into the separation structure. The residue of the dummy gate material separates the first epitaxial source/drain region from the separation structure and is triangle shaped.