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Found 3 papers, 1 papers with code
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets
Considering that most of the clinical concepts are in the form of multi-word expressions and their accurate identification requires the user to specify n-gram range, we have proposed a shortcut method to preserve the structure of the expression based on TF-IDF.
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes
The quality of a learning embedding is influenced by how clinical notes are used as input to representation models.
A Study into patient similarity through representation learning from medical records
To address the limitations of previous approaches in handling complex parts of EMR data, an unsupervised method is proposed for building a patient representation, which integrates unstructured data with structured data extracted from patients' EMRs.
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