A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography
To determine whether decision trees are useful for predicting organisms that cause community-acquired pneumonia (CAP). We developed a decision tree for predicting the organisms that cause CAP based on previously reported characteristic computed tomography findings. Sixteen readers (two student docto...
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Veröffentlicht in: | Japanese journal of radiology 2024-11 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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