An Empirical Evaluation of Resources for the Identif cation of Diseases and Adverse Effects in Biomedical Literature
نویسندگان
چکیده
Spelling correction in a large collection of clinical notes is a relatively lesser explored research area and serious problem as typically 30% of tokens are unknown. In this paper we explore techniques to devise a spelling suggestion generator for clinical data with an emphasis on the accuracy of the first suggestion. We use a combination of a rule-based suggestion generation system and a context-sensitive ranking algorithm to obtain the best results. The ranking is achieved using a language model created by bootstrapping from the corpus. The described method is embedded in a practical work-flow that we use for Knowledge Discovery and Reuse in clinical records.
منابع مشابه
An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature
The mentions of human health perturbations such as the diseases and adverse effects denote a special entity class in the biomedical literature. They help in understanding the underlying risk factors and develop a preventive rationale. The recognition of these named entities in texts through dictionary-based approaches relies on the availability of appropriate terminological resources. Although ...
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