Cargando…
Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology
BACKGROUND: Clinical natural language processing (cNLP) systems are of crucial importance due to their increasing capability in extracting clinically important information from free text contained in electronic health records (EHRs). The conversion of a nonstructured representation of a patient’s cl...
Autores principales: | Canales, Lea, Menke, Sebastian, Marchesseau, Stephanie, D’Agostino, Ariel, del Rio-Bermudez, Carlos, Taberna, Miren, Tello, Jorge |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367121/ https://www.ncbi.nlm.nih.gov/pubmed/34297002 http://dx.doi.org/10.2196/20492 |
Ejemplares similares
-
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network
por: Argüello-González, Guillermo, et al.
Publicado: (2023) -
How can artificial intelligence optimize value-based contracting?
por: Poveda, Jose Luis, et al.
Publicado: (2022) -
Health Natural Language Processing: Methodology Development and Applications
por: Hao, Tianyong, et al.
Publicado: (2021) -
Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study
por: Guetterman, Timothy C, et al.
Publicado: (2018) -
Symptoms timeline and outcomes in amyotrophic lateral sclerosis using artificial intelligence
por: Segura, Tomás, et al.
Publicado: (2023)