LSTM-based recurrent neural network provides effective short term flu forecasting.

Amendolara, Alfred B; Sant, David; Rotstein, Horacio G; Fortune, Eric

Amendolara, Alfred B; Sant, David; Rotstein, Horacio G; Fortune, Eric.

Affiliation

Amendolara AB; Department of Biomedical Science, Noorda College of Osteopathic Medicine, Provo, USA. do25.abamendolara@noordacom.org.
Sant D; Federated Department of Biology, New Jersey Institute of Technology, Newark, USA. do25.abamendolara@noordacom.org.
Rotstein HG; Department of Biomedical Science, Noorda College of Osteopathic Medicine, Provo, USA.
Fortune E; Federated Department of Biology, New Jersey Institute of Technology, Newark, USA.

BMC Public Health ; 23(1): 1788, 2023 09 14.

Article in En | MEDLINE | ID: mdl-37710241

Subject(s)

COVID-19; Influenza, Human; United States/epidemiology; Humans; Influenza, Human/epidemiology; Influenza, Human/prevention & control; COVID-19/epidemiology; SARS-CoV-2; Neural Networks, Computer; Pandemics/prevention & control

Key words

Epidemiology; Influenza; LSTM; Machine learning; Modeling

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Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 / 2_ODS3 / 4_TD Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: BMC Public Health Year: 2023 Document type: Article

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