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Establishment and Analysis of a Combined Diagnostic Model of Liver Cancer with Random Forest and Artificial Neural Network

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  • Runzhi Yu
  • Ziyi Cao
  • Yiqin Huang
  • Xuechun Zhang
  • Jie Chen
  • Yuchen Li

Abstract

The incidence of liver cancer (hepatocellular carcinoma; HCC) is rising and with poor clinical outcome expected, a more accurate judgment of tumor tissues and adjacent nontumor tissues is necessary. The aim of this study was to construct a diagnostic model based on random forest (RF) and artificial neural network (ANN). It can be used to aid in the identification of diseased tissue such as cancerous tissue, for HCC clinical diagnosis and surgical guidance. GSE36376 and GSE121248 from Gene Expression Omnibus (GEO) were used as training sets in this investigation. R package “limma†and WGCNA were used to filter the training set for statistically significant p

Suggested Citation

  • Runzhi Yu & Ziyi Cao & Yiqin Huang & Xuechun Zhang & Jie Chen & Yuchen Li, 2022. "Establishment and Analysis of a Combined Diagnostic Model of Liver Cancer with Random Forest and Artificial Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-17, May.
    • Handle: RePEc:hin:jnlmpe:5679837
    DOI: 10.1155/2022/5679837
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