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Disentangling etiologies of CNS infections in Singapore using multiple correspondence analysis and random forest
Central nervous system (CNS) infections cause substantial morbidity and mortality worldwide, with mounting concern about new and emerging neurologic infections. Stratifying etiologies based on initial clinical and laboratory data would facilitate etiology-based treatment rather than relying on empirical treatment. Here, we report the epidemiology and clinical outcomes of patients with CNS infections from a prospective surveillance study that took place between 2013 and 2016 in Singapore. Usingdoi:10.1038/s41598-020-75088-4 pmid:33106525 fatcat:7viwb3omefbfnaxwhg4re65nbm