Forecasting patient vital signs in irregular time-series with neural networks using Markov Chain principles

Analyzing patient health through irregular time series vital sign data demands inno vative methods beyond conventional imputation techniques. This study introduces a novel approach diverging from prevailing attention-based models to explicitly capture temporal patient evolution. We adopt a paradig...

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Bibliographic Details
Main Author: Choy, Xin Yun
Other Authors: Fan Xiuyi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175142
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Institution: Nanyang Technological University
Language: English