Litcius/Paper detail

Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach

Linda Hammami, Alessia Paglialonga, Giancarlo Pruneri, Michele Torresani, Milena Sant, Carlo Alberto Bono, Enrico G. Caiani, Paolo Baili

2021Journal of Biomedical Informatics44 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceNatural language processingArtificial intelligenceClassifier (UML)Coding (social sciences)SNOMED CTInformation extractionDomain (mathematical analysis)Information retrievalPathologyMedicineTerminologyLinguisticsMathematicsStatisticsPhilosophyMathematical analysisBiomedical Text Mining and OntologiesNatural Language Processing TechniquesTopic Modeling
Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach | Litcius