Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study.

Journal: BMC oral health
PMID: 40348983

Abstract

BACKGROUND: Oral mucosal lesions are widespread globally, have a high prevalence in clinical practice, and significantly impact patients' quality of life. However, their pathogenesis remains unclear. Recent evidences suggested that hematological parameters may play a role in their development. Our study investigated the differences in humoral immune indexes, serum vitamin B levels, and micronutrients among patients with oral mucosal lesions and healthy controls. Additionally, it evaluated a Random Forest machine learning model for classifying various oral mucosal diseases based on peripheral blood biomarkers.

Authors

  • Huiyu Yao
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Zixin Cao
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Liangfu Huang
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Haojie Pan
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Xiaomin Xu
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Fucai Sun
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China.
  • Xi Ding
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China. dingxi@wzhospital.cn.
  • Wan Wu
    Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Ouhai District, Wenzhou, Zhejiang, 325000, People's Republic of China. 13857788811@163.com.

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