Time series predictions in healthcare applications
In recent years, deep learning has been applied in the medical field to perform at sorts of tasks such as the prediction of in-hospital mortality. Due to the inconsistency of follow-up appointments and recordings of vital signs, irregularity is inherently present in medical data. This irregularity...
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| Aineistotyyppi: | Final Year Project (FYP) |
| Kieli: | English |
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Nanyang Technological University
2024
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| Linkit: | https://hdl.handle.net/10356/175261 |