Using n-Grams for Syndromic Surveillance in a Turkish Emergency Department without English Translation: A Feasibility Study:

Biomedical Informatics Insights

SylviaHalász¹ 

关键词: disease outbreaks;    epidemiology;    public health;    surveillance;    n-gram;   

DOI  :  10.4137/BII.S11334

学科分类：医学（综合）

来源: Sage Journals

【 摘 要 】

Introduction: Syndromic surveillance is designed for early detection of disease outbreaks. An important data source for syndromic surveillance is free-text chief complaints (CCs), which are generally recorded in the local language. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories. The n-gram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD codes.

【 授权许可】

CC BY