A general natural-language text processor for clinical radiology
Natural Language Processing
Radiology Information Systems
Without training specific to the four diseases, recall and precision of the system (combined effect of the processor and query generator) were 70% and 87%. Training of the query component increased recall to 85% without changing precision.