Jul 26, 2006 · This study evaluated the information extraction accuracy of a new, portable NLP system HITEx, by comparing it to an expert human gold standard.
Extracting principal diagnosis, co-morbidity and smoking status for ...
pubmed.ncbi.nlm.nih.gov › ...
Jul 26, 2006 · We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research study on airways disease.
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: Evaluation of a natural language processing system. February 2006; BMC ...
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. Access & Citations.
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. verfasst von: Qing T ...
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. BMC Med Inform ...
Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.
Processing Flow Diagram. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: Evaluation of a natural language processing system.
Q. Zeng et al. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system ...
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system . BMC Med Inform Dec ...