Cargando…
Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes
BACKGROUND: To extract more information, the properties of infectious disease data, including hidden relationships, could be considered. Here, blood leukocyte data were explored to elucidate whether hidden information, if uncovered, could forecast mortality. METHODS: Three sets of individuals (n = 1...
Autores principales: | Chatzipanagiotou, S., Ioannidis, A., Trikka-Graphakos, E., Charalampaki, N., Sereti, C., Piccinini, R., Higgins, A. M., Buranda, T., Durvasula, R., Hoogesteijn, A. L., Tegos, G. P., Rivas, Ariel L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901050/ https://www.ncbi.nlm.nih.gov/pubmed/27375617 http://dx.doi.org/10.3389/fimmu.2016.00217 |
Ejemplares similares
-
Preventing Data Ambiguity in Infectious Diseases with Four-Dimensional and Personalized Evaluations
por: Iandiorio, Michelle J., et al.
Publicado: (2016) -
Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data
por: Rivas, Ariel L., et al.
Publicado: (2019) -
Nature and Consequences of Biological Reductionism for the Immunological Study of Infectious Diseases
por: Rivas, Ariel L., et al.
Publicado: (2017) -
Early network properties of the COVID-19 pandemic – The Chinese scenario
por: Rivas, Ariel L., et al.
Publicado: (2020) -
Biologically grounded scientific methods: The challenges ahead for combating epidemics
por: Rivas, Ariel L., et al.
Publicado: (2021)