Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-04-15
DOI
https://doi.org/10.1186/s12879-025-10766-0
Citations
4
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
9.92

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article

Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods

Marcelo Carneiro, Joanna d’Arc Lyra Batista, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini et al.
4 citations
BMC Infectious Diseases
Anomaly Detection Techniques and Applications
9.92
article

Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods

Marcelo Carneiro, Joanna d’Arc Lyra Batista, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini, Pedro Gibson Paraíso, Marcos André Gonçalves, Fernando Anschau, Danyelle Romana Alves Rios, Guilherme Fonseca, Bruno Barbosa Miranda de Paiva, Alexandre Vargas Schwarzbold, Carolina Coimbra Marinho, Milena Soriano Marcolino, Leonardo Rocha, Lucas Rocha Valle
article en
4 citations

Abstract

No abstract available for this paper.
BMC Infectious DiseasesVol. 25(1)
Universidade Federal de Minas Gerais (BR), Universidade de Santa Cruz do Sul (BR), Universidade Federal de Santa Maria (BR), Hospital Universitário Onofre Lopes (BR), Austrian Institute for Health Technology Assessment GmbH (AT), Hospital Amaral Carvalho (BR), Instituto da Visão (BR), Hospital Nossa Senhora da Conceição (BR), Hospital de Santa Cruz (PT), Federal University of São João del-Rei (BR), Instituto Florestal (BR), Universidade Presidente Antônio Carlos (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Quality Education
Openalex Percentile: Top 2%
Anomaly Detection Techniques and Applications
9.92
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