A Personalized Blood Glucose Prediction Model Using Random Forest Regression-Reference-Cited by-同舟云学术

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A Personalized Blood Glucose Prediction Model Using Random Forest Regression

Published:2022-06-22 Issue: Volume: Page:
ISSN:
Container-title:2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)
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Author:

Syafrudin Muhammad¹,Alfian Ganjar²,Fitriyani Norma Latif³,Fahrurrozi Imam²,Anshari Muhammad⁴,Rhee Jongtae⁵

Affiliation:

1. Sejong University,Department of Artificial Intelligence,Seoul,Korea

2. Universitas Gadjah Mada,Vocational College,Department of Electrical Engineering and Informatics,Yogyakarta,Indonesia

3. Sejong University,Department of Data Science,Seoul,Korea

4. Universiti Brunei Darussalam,School of Business and Economics,Brunei,Darussalam

5. Dongguk University,Department of Industrial and Systems Engineering,Seoul,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888141/9888798/09888838.pdf?arnumber=9888838

Reference35 articles.

1. A note on the validity of cross-validation for evaluating autoregressive time series prediction

2. Scikit-learn: Machine Learning in Python;pedregosa;Journal of Machine Learning Research,2011

3. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

4. Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks

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