Analysis of infection biomarkers within a Bayesian framework reveals their role in pneumococcal pneumonia diagnosis in HIV patients
This paper applies a Bayesian framework to analyze infection biomarkers in HIV patients with pneumonia, identifying CRP, PCT, and lytA as significant predictors and demonstrating the value of continuous likelihood ratios over dichotomous cutoffs.