Multivariate modelling for prediction of time-series blood glucose level using vector autoregression (VAR)

Predicting glucose levels remains a significant challenge in diabetes management, with various factors influencing regulation. Modern technologies like AI and ML offer potential solutions by implementing prediction systems. This study focuses on utilising the Vector Autoregression (VAR) method to ma...

詳細記述

書誌詳細
主要な著者: Abdul Monir, Nurul Aliss, Mahmud, Farhanahani
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2024
主題:
オンライン・アクセス:http://eprints.uthm.edu.my/12086/1/P16856_acfde2c4af6aaca13d4e09d0b4c393f7.pdf%204.pdf