Clinical prediction rule for bacteremia with pyelonephritis and hospitalization judgment: chi-square automatic interaction detector (CHAID) decision tree analysis model

OBJECTIVE: This study was performed to identify predictive factors for bacteremia among patients with pyelonephritis using a chi-square automatic interaction detector (CHAID) decision tree analysis model. METHODS: This retrospective cross-sectional survey was performed at Juntendo University Nerima...

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Detalles Bibliográficos
Autores principales: Fukui, Sayato, Inui, Akihiro, Saita, Mizue, Kobayashi, Daiki, Naito, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Retrospective Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743944/
https://www.ncbi.nlm.nih.gov/pubmed/34986702
http://dx.doi.org/10.1177/03000605211065658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743944/
https://www.ncbi.nlm.nih.gov/pubmed/34986702
http://dx.doi.org/10.1177/03000605211065658

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