Cargando…
Supervised Machine Learning Methods for Seasonal Influenza Diagnosis
Influenza has been a stationary disease in Mexico since 2009, and this causes a high cost for the national public health system, including its detection using RT-qPCR tests, treatments, and absenteeism in the workplace. Despite influenza’s relevance, the main clinical features to detect the disease...
Autores principales: | Marquez, Edna, Barrón-Palma, Eira Valeria, Rodríguez, Katya, Savage, Jesus, Sanchez-Sandoval, Ana Laura |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647880/ https://www.ncbi.nlm.nih.gov/pubmed/37958248 http://dx.doi.org/10.3390/diagnostics13213352 |
Ejemplares similares
-
COVID-19: critical case of a patient with an atypical manifestation of the disease
por: Barrón-Palma, Eira Valeria, et al.
Publicado: (2023) -
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
por: Ming, Damien K., et al.
Publicado: (2022) -
Supervised machine learning models applied to disease diagnosis and prognosis
por: Mariani, Maria C, et al.
Publicado: (2019) -
Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning
por: Smith, Taylor
Publicado: (2019) -
Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges
por: Peng, Shichun, et al.
Publicado: (2020)