Evaluating a normalized conceptual representation produced from natural language patient discharge summaries.
The Menelas project aimed to produce a normalized conceptual representation from natural language patient discharge summaries. Because of the complex and detailed nature of conceptual representations, evaluating the quality of output of such a system is difficult. We present the method designed to measure the quality of Menelas output, and its application to the state of the French Menelas prototype as of the end of the project. We examine this method in the framework recently proposed by Friedman and Hripcsak. We also propose two conditions which enable to reduce the evaluation preparation workload.
Zweigenbaum
P
P
DIAM, Service d'Informatique Médicale, Assistance Publique, Hôpitaux de Paris. pz@biomath.jussieu.fr
Bouaud
J
J
Bachimont
B
B
Charlet
J
J
Boisvieux
J F
JF
D000043:Abstracting and Indexing; D005069:Evaluation Studies as Topic; D005103:Expert Systems; D006801:Humans; D009323:Natural Language Processing; D010351:Patient Discharge