Automatic Classification of Free-Text Radiology Reports to Identify Limb Fractures using Machine Learning and the SNOMED CT Ontology

OBJECTIVE: To develop and evaluate machine learning techniques that identify limb fractures and other abnormalities (e.g. dislocations) from radiology reports. MATERIALS AND METHODS: 99 free-text reports of limb radiology examinations were acquired from an Australian public hospital. Two clinicians...

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Detalles Bibliográficos
Autores principales: Zuccon, Guido, Wagholikar, Amol S, Nguyen, Anthony N, Butt, Luke, Chu, Kevin, Martin, Shane, Greenslade, Jaimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 201
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845773/
https://www.ncbi.nlm.nih.gov/pubmed/24303284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845773/
https://www.ncbi.nlm.nih.gov/pubmed/24303284

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