Cargando…
A Predictive Rule for COVID-19 Pneumonia Among COVID-19 Patients: A Classification and Regression Tree (CART) Analysis Model
Background: In this study, we aimed to identify predictive factors for coronavirus disease 2019 (COVID-19) patients with complicated pneumonia and determine which COVID-19 patients should undergo computed tomography (CT) using classification and regression tree (CART) analysis. Methods: This retrosp...
Autores principales: | Fukui, Sayato, Inui, Akihiro, Komatsu, Takayuki, Ogura, Kanako, Ozaki, Yutaka, Sugita, Manabu, Saita, Mizue, Kobayashi, Daiki, Naito, Toshio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500617/ https://www.ncbi.nlm.nih.gov/pubmed/37720137 http://dx.doi.org/10.7759/cureus.45199 |
Ejemplares similares
-
Comparison of the clinical parameters of patients with COVID-19 and influenza using blood test data: a retrospective cross-sectional survey
por: Fukui, Sayato, et al.
Publicado: (2022) -
Clinical prediction rule for bacteremia with pyelonephritis and hospitalization judgment: chi-square automatic interaction detector (CHAID) decision tree analysis model
por: Fukui, Sayato, et al.
Publicado: (2022) -
Clinical prediction rule for bacterial arthritis: Chi-squared
automatic interaction detector decision tree analysis model
por: Kushiro, Seiko, et al.
Publicado: (2023) -
Predictive Rule for Mortality of Inpatients With Escherichia coli Bacteremia: Chi-Square Automatic Interaction Detector Decision Tree Analysis Model
por: Nakanishi, Yudai, et al.
Publicado: (2023) -
Basophilic stippling in red blood cells in the bone marrow:
indication for lead poisoning diagnosis
por: Kano, Nagamasa, et al.
Publicado: (2022)