Samenvatting
This thesis focused on the application of artificial intelligence techniques in the field of
anesthesiology. Several machine learning algorithms were explored in this thesis to address
two main clinical research questions which resulted in:
1. A novel AI based universal sedation level prediction framework, and
2. A novel AI based framework to identify natural sleep promoting drugs.
Several features from the time, frequency and entropy domains were developed to address
these questions.
anesthesiology. Several machine learning algorithms were explored in this thesis to address
two main clinical research questions which resulted in:
1. A novel AI based universal sedation level prediction framework, and
2. A novel AI based framework to identify natural sleep promoting drugs.
Several features from the time, frequency and entropy domains were developed to address
these questions.
| Originele taal-2 | English |
|---|---|
| Kwalificatie | Doctor of Philosophy |
| Toekennende instantie |
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| Begeleider(s)/adviseur |
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| Datum van toekenning | 19-apr.-2023 |
| Plaats van publicatie | [Groningen] |
| Uitgever | |
| DOI's | |
| Status | Published - 2023 |