Publications by authors named "Hadriana Rodriguez"

Article Synopsis
  • This work addresses the challenge of interpreting electronic rating scales used in clinical settings by creating a prototype for the Scale of the Assessment and Rating of Ataxia (SARA), applying concepts from OpenEHR clinical archetypes and ontologies.
  • A simplified version of the Human Phenotype Ontology (HPO) was developed to standardize and normalize SARA test data, enhancing the ability to reason about the clinical information collected.
  • The prototype, named SARA Management System, demonstrated good reliability in assessing cerebellar syndrome, achieving a weighted kappa score of 0.62 to 0.86 when compared to expert evaluations, indicating it can effectively automate knowledge extraction from clinical rating scales.
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Background: Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, providing resources for improved natural language processing tasks. However, biomedical ontology-based named entity recognition continues to be a major research problem.

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Motivation: As the number of clinical reports in the peer-reviewed medical literature keeps growing, there is an increasing need for online search tools to find and analyze publications on patients with similar clinical characteristics. This problem is especially critical and challenging for rare diseases, where publications of large series are scarce. Through an applied example, we illustrate how to automatically identify new relevant cases and semantically annotate the relevant literature about patient case reports to capture the phenotype of a rare disease named cerebrotendinous xanthomatosis.

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