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COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach · Study

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ArticleCOVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach

DALTON BORGES2022

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Articlegreen2022

COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach

DALTON BORGES · Mariá C. V. Nascimento

44 citations·0/0 files stored·Applied Soft Computing

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Forecasting Techniques and Applications COVID-19 epidemiological studies Healthcare Operations and Scheduling Optimization

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n.d.Forecasting principles and practice 2017Forecasting at Scale 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)2011Research design and statistical analysis 2020A CNN–LSTM model for gold price time-series forecasting 2020An optimized model using LSTM network for demand forecasting 2021Falling living standards during the COVID-19 crisis: Quantitative evidence from nine developing countries 1995Uncertain demand, the structure of hospital costs, and the cost of empty hospital beds

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Year2022

Typearticle

Published2022-06-17

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations44

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.asoc.2022.109181

openalex_workW4283021234

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