Machine learning in predicting severe acute respiratory infection outbreaks

Machine learning in predicting severe acute respiratory infection outbreaks

Abstract: Severe acute respiratory infection (SARI) outbreaks occur annually, with seasonal peaks varying among geographic regions. Case notification is important to prepare healthcare networks for patient attendance and hospitalization. Thus, health managers need adequate resource planning tools fo...

Full description

Bibliographic Details
Main Authors: Amauri Duarte da Silva, Marcelo Ferreira da Costa Gomes, Tatiana Schäffer Gregianini, Leticia Garay Martins, Ana Beatriz Gorini da Veiga
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz 2024-01-01
Series:Cadernos de Saúde Pública
Subjects:
Severe Acute Respiratory Infection
Machine Learning
Computer Models
Epidemiologic Surveillance
Neural Networks (Computer)
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024000105005&lng=en&tlng=en

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024000105005&lng=en&tlng=en

Similar Items