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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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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
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PubType: Academic Journal
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  Data: 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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  Data: 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.
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  Data: <searchLink fieldCode="AU" term="%22Zanfino+A%22">Zanfino A</searchLink>; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy).<br /><searchLink fieldCode="AU" term="%22Buzzoni+C%22">Buzzoni C</searchLink>; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy); cbuzzoni@ats-milano.it.<br /><searchLink fieldCode="AU" term="%22Russo+AG%22">Russo AG</searchLink>; Epidemiology Unit, Agency for Health Protection of the Metropolitan Area of Milan (Italy).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cooperativa+epidemiologia+e+prevenzione%22">Cooperativa epidemiologia e prevenzione </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>8902507 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1120-9763 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211209763%22">11209763 </searchLink><i>NLM ISO Abbreviation: </i>Epidemiol Prev <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.19191/EP26.2.A955.030
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      – Code: eng
        Text: English
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        StartPage: 173
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      – TitleFull: 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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            NameFull: Zanfino A
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            NameFull: Buzzoni C
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            NameFull: Russo AG
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            – D: 01
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              Text: 2026 Mar-Apr
              Type: published
              Y: 2026
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