Extracting cancer concepts from clinical notes using natural language processing: a systematic review

BACKGROUND: Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical notes of cancer patients. This study aimed to systematically review studies that used NLP me...

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Detalles Bibliográficos
Autores principales: Gholipour, Maryam, Khajouei, Reza, Amiri, Parastoo, Hajesmaeel Gohari, Sadrieh, Ahmadian, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613366/
https://www.ncbi.nlm.nih.gov/pubmed/37898795
http://dx.doi.org/10.1186/s12859-023-05480-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613366/
https://www.ncbi.nlm.nih.gov/pubmed/37898795
http://dx.doi.org/10.1186/s12859-023-05480-0

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