Semantic similarity is a useful approach for comparing patient phenotypes, and holds the
potential of an effective method for exploiting text-derived phenotypes for differential …

Background Semantic similarity is a valuable tool for analysis in biomedicine. When applied
to phenotype profiles derived from clinical text, they have the capacity to enable and …

Identification of ontology concepts in clinical narrative text enables the creation of phenotype
profiles that can be associated with clinical entities, such as patients or drugs. Constructing …

Motivation: Automatically quantifying semantic similarity and relatedness between clinical
terms is an important aspect of text mining from electronic health records, which are …

Ontology-based phenotype profiles have been utilised for the purpose of differential
diagnosis of rare genetic diseases, and for decision support in specific disease domains …

Background Word sense disambiguation (WSD) methods automatically assign an
unambiguous concept to an ambiguous term based on context, and are important to many …

Finding similar patients is a common objective in precision medicine, facilitating treatment
outcome assessment and clinical decision support. Choosing widely-available patient …

Background Biomedical ontologies contain a wealth of metadata that constitutes a
fundamental infrastructural resource for text mining. For several reasons, redundancies exist …

An extensive library of symptom inventories has been developed over time to measure
clinical symptoms, but this variety has led to several long standing issues. Most notably …

Various researches in web related semantic similarity measures have been deployed.
However, measuring semantic similarity between two terms remains a challenging task. The …