A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification

BACKGROUND: Given the threat posed by cancer to human health, there is a rapid growth in the volume of data in the cancer field and interdisciplinary and collaborative research is becoming increasingly important for fine-grained classification. The low-resolution classifier of reported studies at th...

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Detalles Bibliográficos
Autores principales: Zhang, Ying, Li, Xiaoying, Liu, Yi, Li, Aihua, Yang, Xuemei, Tang, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587805/
https://www.ncbi.nlm.nih.gov/pubmed/37796584
http://dx.doi.org/10.2196/44892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587805/
https://www.ncbi.nlm.nih.gov/pubmed/37796584
http://dx.doi.org/10.2196/44892

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