Cargando…
Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study
Differential diagnosis between bacterial and viral meningitis is crucial. In our study, to differentiate bacterial vs. viral meningitis, three machine learning (ML) algorithms (multiple logistic regression (MLR), random forest (RF), and naïve-Bayes (NB)) were applied for the two age groups (0–14 and...
Autores principales: | Mentis, Alexios-Fotios A., Garcia, Irene, Jiménez, Juan, Paparoupa, Maria, Xirogianni, Athanasia, Papandreou, Anastasia, Tzanakaki, Georgina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065596/ https://www.ncbi.nlm.nih.gov/pubmed/33800653 http://dx.doi.org/10.3390/diagnostics11040602 |
Ejemplares similares
-
Pneumococcal Serotype Identification by Capsular Sequence Typing (CST): A Modified Novel Approach for Serotyping Directly in Clinical Samples
por: Marmaras, Nektarios, et al.
Publicado: (2021) -
Symptomatic Female Genital Tract Infections Due to Neisseria meningitidis in Athens, Greece
por: Tsakalos, Anastasios, et al.
Publicado: (2021) -
Impact of a Single-Tube PCR Assay for the Detection of Haemophilus influenzae Serotypes a, c, d, e and f on the Epidemiological Surveillance in Greece
por: Xirogianni, Athanasia, et al.
Publicado: (2022) -
Meningococcal Carriage in Military Recruits and University Students during the Pre MenB Vaccination Era in Greece (2014-2015)
por: Tryfinopoulou, Kyriaki, et al.
Publicado: (2016) -
Meningococcal Antibiotic Resistance: Molecular Characterization of Isolates from Patients with Invasive Meningococcal Disease (IMD) in Greece
por: Spiliopoulou, Ioanna, et al.
Publicado: (2023)