The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality

BACKGROUND: Symptomatic dengue infection can result in a life-threatening shock syndrome and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 and IgM are used widely but performance can be limited. We developed a supervised machine learning model to predict whether pat...

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Detalles Bibliográficos
Autores principales: Ming, Damien K., Tuan, Nguyen M., Hernandez, Bernard, Sangkaew, Sorawat, Vuong, Nguyen L., Chanh, Ho Q., Chau, Nguyen V. V., Simmons, Cameron P., Wills, Bridget, Georgiou, Pantelis, Holmes, Alison H., Yacoub, Sophie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963938/
https://www.ncbi.nlm.nih.gov/pubmed/35360365
http://dx.doi.org/10.3389/fdgth.2022.849641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963938/
https://www.ncbi.nlm.nih.gov/pubmed/35360365
http://dx.doi.org/10.3389/fdgth.2022.849641

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