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Fig. 4 | BMC Infectious Diseases

Fig. 4

From: Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis

Fig. 4

Importance of the screened features for identifying SPPT, SNPT patients from controls. A Importance of the clinical and metabolic features from different optimized combinations for precisely binary classification of SPPT/Ctrl, SNPT/Ctrl and SPPT/SNPT groups (from top to bottom) using random forest model. B Importance of the clinical and metabolic features from the four optimized combinations for simultaneous classification of SPPT, SNPT and Ctrl groups

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BMC Infectious Diseases

ISSN: 1471-2334

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