Natural Language Clinical Pathways for Automated Coding of Topography and Morphology in Cancer Registries: Leveraging Healthcare Dataflows through the LN-PDTA Algorithm.

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Bibliographic Details
Title: Natural Language Clinical Pathways for Automated Coding of Topography and Morphology in Cancer Registries: Leveraging Healthcare Dataflows through the LN-PDTA Algorithm.
Transliterated Title: Percorsi clinici in linguaggio naturale per l’assegnazione automatizzata di topografia e morfologia nei registri tumori: sfruttare i flussi sanitari per il machine-coding oncologico tramite l’algoritmo LN-PDTA.
Authors: Zanfino A; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy)., Buzzoni C; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy); cbuzzoni@ats-milano.it., Russo AG; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy).
Source: Epidemiologia e prevenzione [Epidemiol Prev] 2026 Mar-Apr; Vol. 50 (2), pp. 173-187.
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Cooperativa epidemiologia e prevenzione Country of Publication: Italy NLM ID: 8902507 Publication Model: Print Cited Medium: Internet ISSN: 1120-9763 (Print) Linking ISSN: 11209763 NLM ISO Abbreviation: Epidemiol Prev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1120-9763
DOI:10.19191/EP26.2.A955.030