Cargando…
Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models
Understanding the diagnostic goal of medical reports is valuable information for understanding patient flows. This work focuses on extracting the reason for taking an MRI scan of Multiple Sclerosis (MS) patients using the attached free-form reports: Diagnosis, Progression or Monitoring. We investiga...
Autores principales: | Rietberg, Max Tigo, Nguyen, Van Bach, Geerdink, Jeroen, Vijlbrief, Onno, Seifert, Christin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093295/ https://www.ncbi.nlm.nih.gov/pubmed/37046469 http://dx.doi.org/10.3390/diagnostics13071251 |
Ejemplares similares
-
Automatic Process Comparison for Subpopulations: Application in Cancer Care (†)
por: Marazza, Francesca, et al.
Publicado: (2020) -
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
por: Lu, Zhibin, et al.
Publicado: (2020) -
srBERT: automatic article classification model for systematic review using BERT
por: Aum, Sungmin, et al.
Publicado: (2021) -
Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models
por: Faris, Hossam, et al.
Publicado: (2022) -
To BERT or Not to BERT Dealing with Possible BERT Failures in an Entailment Task
por: Fialho, Pedro, et al.
Publicado: (2020)