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A Mixture of Experts Model for Extubation


Author(s):

Vinod Kulkarni , VTU Belagavi; Anand Unakal, VTU Belagavi; Rohit More, VTU Belagavi; R H Goudar, VTU Belagavi

Keywords:

Extubation, Mixture of Experts, Patient, Gating Function, Probability

Abstract:

Extubation refers to removal of endotracheal tube (ETT).Intubation refers to the process of putting a tube into a hollow organ or passageway. Mixture of Experts (MoE) model is an architecture consisting of n expert networks. These experts are connected via gating network. The expert is a person who has effective knowledge and experience in a particular field. The expert is taken as a doctor/clinician who diagnoses patients. The patient data is collected and processed and a suitable time is decided to extubate. Currently, the data collection is limited to a known number of patients. For each patient, about 100 features are extracted. In this paper, a system is proposed which contains a model that takes the data from the patients irrespective of their count. The model takes both clinical and physiological data. Gating function is used which chooses weight for each expert for a given input. The model is predictive in which probability of success of extubation is more.


Other Details:

Manuscript Id :IJSTEV3I11178
Published in :Volume : 3, Issue : 11
Publication Date: 01/06/2017
Page(s): 309-312
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