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- W4328119937 abstract "This thesis focused on the application of artificial intelligence techniques in the field ofanesthesiology. Several machine learning algorithms were explored in this thesis to addresstwo main clinical research questions which resulted in:1. A novel AI based universal sedation level prediction framework, and2. A novel AI based framework to identify natural sleep promoting drugs.Several features from the time, frequency and entropy domains were developed to addressthese questions." @default.
- W4328119937 created "2023-03-22" @default.
- W4328119937 creator A5030996748 @default.
- W4328119937 date "2023-03-21" @default.
- W4328119937 modified "2023-10-17" @default.
- W4328119937 title "Study of Anesthetic Induced Dynamic Changes in Electroencephalogram using Artificial Intelligence" @default.
- W4328119937 doi "https://doi.org/10.33612/diss.600140138" @default.
- W4328119937 hasPublicationYear "2023" @default.
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