Paper Info
Title
Challenges in Clinical Named Entity Recognition for Decision Support
Abstract
In addition to structured data, electronic health records contain unstructured clinical notes and narratives. The identification and classification of mentions of relevant clinical concepts is a crucial preprocessing step in designing and developing clinical decision support systems. While this task has gained significant attention in recent years, there are still a number of issues that need further investigation. This paper explores a variety of common challenges faced by clinical named entity recognition and classification methods as well as current approaches to handling them.
Year
DOI
Venue
2013
10.1109/SMC.2013.166
Systems, Man, and Cybernetics
Keywords
Field
DocType
electronic health record,entity recognition,classification method,clinical decision support system,common challenge,clinical note,recent year,current approach,relevant clinical concept,decision support,crucial preprocessing step,decision support systems,data structures
Data science,Data structure,Computer science,Decision support system,Narrative,Preprocessor,Information extraction,Clinical decision support system,Named-entity recognition,Data model
Conference
ISSN
Citations 
PageRank 
1062-922X
4
0.41
References 
Authors
14
3
Name
Order
Citations
PageRank
Azad Dehghan1412.96
John A. Keane269592.81
Goran Nenadic322813.18