Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis

Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret...

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Bibliographic Details

Published in:	Journal of Dental Sciences
Main Authors:	Huong Thu Duong, Nam Cong-Nhat Huynh, Chi Thi-Kim Nguyen, Linh Gia-Hoang Le, Khoa Dang Nguyen, Hieu Trong Nguyen, Lan Ngoc-Ly Tu, Nam Huynh-Bao Tran, Hoa Giang, Hoai-Nghia Nguyen, Chuong Quoc Ho, Hung Trong Hoang, Thinh Huy-Quoc Dang, Tu Anh Thai, Dong Van Cao
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	mRNA Oral squamous cell carcinoma Machine learning Clinical Histopathological
Online Access:	http://www.sciencedirect.com/science/article/pii/S1991790224002757