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Automated Detection of Tuberculosis Using Electronic Medical Record Data
Content Type: Abstract
Approximately one quarter of people treated for tuberculosis (TB) have no supporting microbiology, and thus are not detectable through laboratory reporting systems. Health departments depend upon clinicians to report these… read more… with a combined positive predictive value of 82%. By com- parison, the most sensitive single algorithm (any ICD9 … (100%) 9/11 (82%) CONCLUSIONS These results suggest it may be possible to achieve both high sensitivity and …