|
|
|
| Research on the Reform of Physical Education Teaching in Universities Based on Knowledge Graph |
| Zhang Jun1，Bai Sun-dan1，You Tao1，Han Bo1，Wei Zi-xuan1，Xin Rui-hao1，Feng Xin 2*
|
| 1. Jilin Chemical Industry Hospital, Jilin City Jilin Province 132022,China; 2. Jilin University of Chemical Technology, Jilin City Jilin Province 132022，China |
|
|
|
|
Abstract In order to solve the dual challenges of high-dimensional feature redundancy and category imbalance in breast cancer risk prediction, this study proposes a new framework CARE-Net based on convolutional neural networks. The model optimizes data distribution by integrating SMOTEENN resampling technology. First, an unsupervised self-encoder is used to compress the features of mRNA, miRNA and DNA methylation data respectively to learn discriminatory low-dimensional embedding representations. Secondly, multi-genomic features are integrated through early fusion strategies, and feature screening is carried out based on correlation threshold analysis to effectively eliminate redundant features. Aiming at the category imbalance problem, SMOTEENN mixed sampling technology is introduced for data enhancement before model training. Finally, the classification prediction task is performed based on the optimized feature space. Experimental results show that compared with existing benchmark methods, CARE-Net shows significant advantages in key indicators such as Accuracy, F1 score and AUC value. Compared with classic machine learning methods, this method shows stronger robustness in dealing with feature redundancy elimination and category imbalance processing of multi-set data, and significantly improves the generalization ability of risk prediction models.
|
|
Published: 22 March 2026
|
|
|
|
|
| [1] |
ZHANG Jun, WU Haocheng, HAN Bo, YOU Tao, WEI ZiXuan, FENG Xin, XIN Ruihao. DAIF-Cox:A Multimodal Fusion-Based Model for Breast Cancer Prognostic Risk Prediction#br#[J]. Journal of Jilin Institute of Chemical Technology, 2025, 42(11): 90-96. |
| [2] |
YAN Weifeng, GOU Yanfei, GAN Shukun, LV Xuefei. Robotic arm grasping pose detection based on RGB-D camera[J]. Journal of Jilin Institute of Chemical Technology, 2025, 42(5): 77-83. |
|
|
|
|
