Integrating large language models into time series predictions in healthcare applications

Predicting patient outcomes in intensive care units (ICUs) is challenging due to the irregularity and sparsity of medical data. Traditional time-series models usually fail to capture all patient information, while large language models (LLMs) lack temporal awareness and are prone to hallucinat...

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Bibliographic Details
Main Author: Vignesh, Ezhil
Other Authors: Liu Siyuan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2025
Subjects:
Online Access:https://hdl.handle.net/10356/183936
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