Our feasibility study demonstrates that the proposed Bayesian network is an appropriate method to detect pneumonia patients with high accuracy. The study ...
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In this study, we established a Bayesian network pneumonia diagnosis model based on EMR data. The application of feature selection based on odds ratio (OR) ...
Bibliographic details on Diagnosing community-acquired pneumonia with a Bayesian network.
Jul 12, 2022 · Diagnosing community-acquired pneumonia with a Bayesian network. In: Proceedings of the AMIA Symposium. American Medical Informatics ...
Etiology of community-acquired pneumonia and diagnostic yields of microbiological methods: a 3-year prospective study in Norway. BMC Infect Dis 2015;15:64 ...
Oct 19, 2022 · We established pneumonia diagnosis models of Bayesian network using a total of 13,448 electronic medical records. We investigated learning ...
Diagnosing community-acquired pneumonia with a Bayesian network. In: Proceedings of the AMIA Symposium. American Medical Informatics Association; 1998. p ...
Prediction of bacteremia using TREAT, a computerized decision-support system. · Diagnosing community-acquired pneumonia with a Bayesian network · Empirical ...
Diagnosis of Community-Acquired pneumonia in children using ...
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This paper presents a novel approach for diagnosing Community-Acquired Pneumonia (CAP) in children using single-channel photoplethysmography (PPG) using ...
We reviewed the accuracy and yield of sputum Gram stains to diagnose bacterial pathogens in community-acquired pneumonia. Gram stains of good-quality speci.