APPLICATION OF ITRANSFORMERS TO PREDICTING PRETERM BIRTH RATE. COMPARISON WITH THE ARIMA MODEL.

Authors :: Karwański, Marek
Grzybowska, Urszula
Kostoglou, Vassilis
Mierzejewska, Ewa
Szamotulska, Katarzyna
Source :: Quantitative Methods in Economics / Metody Ilościowe w Badaniach Ekonomicznych; 2024, Vol. 25 Issue 3, p124-133, 10p
Publication Year :: 2024
Abstract: In this paper, we study the differences between forecasts obtained with the classical seasonal ARIMA model and forecasts obtained with the neural network model called iTransformers. The analysis is done on Polish data concerning preterm birth from 2015 to 2020. We compare the results and calculate the effect size to conclude the impact of the obtained differences. [ABSTRACT FROM AUTHOR]

Subjects :: TIME series analysis
PREMATURE labor
ARTIFICIAL neural networks
BOX-Jenkins forecasting
FORECASTING

Language :: English
ISSN :: 2082792X
Volume :: 25
Issue :: 3
Database :: Complementary Index
Journal :: Quantitative Methods in Economics / Metody Ilościowe w Badaniach Ekonomicznych
Publication Type :: Academic Journal
Accession number :: 181994069
Full Text :: https://doi.org/10.22630/MIBE.2024.25.3.11

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