Introduction: The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ...

The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD-9-CM codes.

The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD-9-CM codes.

The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD-9-CM codes.

The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD-9-CM codes. For ...

Introduction: The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ...

The ngram cc classifier: A novel method of automatically creating CC classifers based on ICD-9 groupings. Syndromic Surveillance Conference; 2006. [DOI] ...

The ngram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD-9-CM codes. For ...

In this paper, we propose a novel text classification framework for chief complaint by embedding both input text and hierarchical structure of label ...

The ngram chief complaint classifier: A novel method of automatically creating chief complaint classifiers based on international classification of diseases ...