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ABSTRACT: Background
Tuberculous meningitis (TBM) is the most severe form of tuberculosis, but differentiating between the diagnosis of TBM and viral meningitis (VM) is difficult. Thus, we have developed machine-learning modules for differentiating TBM from VM.Material and methods
For the training data, confirmed or probable TBM and confirmed VM cases were retrospectively collected from five teaching hospitals in Korea between January 2000 - July 2018. Various machine-learning algorithms were used for training. The machine-learning algorithms were tested by the leave-one-out cross-validation. Four residents and two infectious disease specialists were tested using the summarized medical information.Results
The training study comprised data from 60 patients with confirmed or pr
SUBMITTER: Jeong YS
PROVIDER: S-EPMC8032912 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature