Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques

CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819

Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang Source Type: research