AIMC Topic: Sweden

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Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.

Studies in health technology and informatics
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling...

Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

Studies in health technology and informatics
Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner. Although automatic de-identification of clinical text using machine learning holds mu...