NATURAL-LANGUAGE PROCESSING AND THE REPRESENTATION OF CLINICAL-DATA

被引:143
作者
SAGER, N
LYMAN, M
BUCKNALL, C
NHAN, N
TICK, LJ
机构
[1] Courant Institute of Mathematical Sciences, New York University, New York, NY 10012
关键词
D O I
10.1136/jamia.1994.95236145
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objective: Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance. Design: The Linguistic String Project (LSP) system of New York University utilizes syntactic analysis, augmented by a sublanguage grammar and an information structure that are specific to the clinical narrative, to map free-text documents into a database for querying. Measurements: information precision (I-P) and information recall (I-R) were measured for queries for the presence of 13 asthma-health-care quality assurance criteria in a database generated from 59 discharge letters. Results: I-P, using counts of major errors only, was 95.7% for the 28-letter training set and 98.6% for the 31-letter test set. I-R, using counts of major omissions only, was 93.9% for the training, set and 92.5% for the test set.
引用
收藏
页码:142 / 160
页数:19
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