ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports

INTRODUCTION: Accurate identification of venous thromboembolism (VTE) is critical to develop replicable epidemiological studies and rigorous predictions models. Traditionally, VTE studies have relied on international classification of diseases (ICD) codes which are inaccurate – leading to misclassif...

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Detalles Bibliográficos
Autores principales: Wang, Jeffrey, de Vale, Joao Souza, Gupta, Saransh, Upadhyaya, Pulakesh, Lisboa, Felipe A., Schobel, Seth A., Elster, Eric A., Dente, Christopher J., Buchman, Timothy G., Kamaleswaran, Rishikesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652606/
https://www.ncbi.nlm.nih.gov/pubmed/37974186
http://dx.doi.org/10.1186/s12911-023-02369-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652606/
https://www.ncbi.nlm.nih.gov/pubmed/37974186
http://dx.doi.org/10.1186/s12911-023-02369-z

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