Electronic case report forms generation from pathology reports by ARGO, automatic record generator for onco-hematology

The unstructured nature of Real-World (RW) data from onco-hematological patients and the scarce accessibility to integrated systems restrain the use of RW information for research purposes. Natural Language Processing (NLP) might help in transposing unstructured reports into standardized electronic...

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Detalles Bibliográficos
Autores principales: Zaccaria, Gian Maria, Colella, Vito, Colucci, Simona, Clemente, Felice, Pavone, Fabio, Vegliante, Maria Carmela, Esposito, Flavia, Opinto, Giuseppina, Scattone, Anna, Loseto, Giacomo, Minoia, Carla, Rossini, Bernardo, Quinto, Angela Maria, Angiulli, Vito, Grieco, Luigi Alfredo, Fama, Angelo, Ferrero, Simone, Moia, Riccardo, Di Rocco, Alice, Quaglia, Francesca Maria, Tabanelli, Valentina, Guarini, Attilio, Ciavarella, Sabino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664934/
https://www.ncbi.nlm.nih.gov/pubmed/34893665
http://dx.doi.org/10.1038/s41598-021-03204-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664934/
https://www.ncbi.nlm.nih.gov/pubmed/34893665
http://dx.doi.org/10.1038/s41598-021-03204-z

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