Automated extraction of information from free text of Spanish oncology pathology reports

dc.contributor.authorJuan Sebastian Moreno
dc.contributor.authorJuan Carlos Bravo Ocaña
dc.contributor.authorÁlvaro Riascos
dc.contributor.authorÁngela R. Zambrano
dc.contributor.authorDiana Marcela Mendoza
dc.contributor.authorJohan Garcia
dc.contributor.authorSergio I. Prada
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:57:24Z
dc.date.available2026-03-22T14:57:24Z
dc.date.issued2023
dc.descriptionCitaciones: 4
dc.description.abstractA preliminary algorithm validation against human extraction was performed over a small set of reports with satisfactory results. This shows that a regular-expression approach can accurately and precisely extract multiple specimen attributes from free-text Spanish pathology reports. Additionally, we developed a website to facilitate collaborative validation at a larger scale which may be helpful for future research on the subject.
dc.identifier.doi10.25100/cm.v54i1.5300
dc.identifier.urihttps://doi.org/10.25100/cm.v54i1.5300
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/49540
dc.language.isoen
dc.publisherUniversity of Valle
dc.relation.ispartofColombia medica
dc.sourceUniversidad Santo Tomás
dc.subjectNatural language processing
dc.subjectArtificial intelligence
dc.subjectMedicine
dc.subjectComputer science
dc.subjectInformation extraction
dc.subjectInformation retrieval
dc.subjectMedical physics
dc.subjectData mining
dc.subjectPathology
dc.titleAutomated extraction of information from free text of Spanish oncology pathology reports
dc.typearticle

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