Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics

BACKGROUND: Several machine learning (ML) classifiers for thyroid nodule diagnosis have been compared in terms of their accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and area under the receiver operating curve (AUC). A total of 525 patients wit...

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Detalles Bibliográficos
Autores principales: Liang, Jianguang, Pang, Tiantian, Liu, Weixiang, Li, Xiaogang, Huang, Leidan, Gong, Xuehao, Diao, Xianfen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571314/
https://www.ncbi.nlm.nih.gov/pubmed/37828438
http://dx.doi.org/10.1186/s12880-023-01117-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571314/
https://www.ncbi.nlm.nih.gov/pubmed/37828438
http://dx.doi.org/10.1186/s12880-023-01117-z

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