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

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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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
Series:Journal of Dental Sciences
Subjects:
mRNA
Oral squamous cell carcinoma
Machine learning
Clinical
Histopathological
Online Access:http://www.sciencedirect.com/science/article/pii/S1991790224002757
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