10 citations · 21 across the 5 of their papers we have counts for
5 papers
Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
Jiacheng Hu, Bo Zhang, Ting Xu +2
This study addresses the challenges of symptom evolution complexity and insufficient temporal dependency modeling in Parkinson's disease progression prediction. It proposes a unifi…
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
Yufeng Li, Wenchao Zhao, Bo Dang +4
In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in making medication decisions. In response to the problems in previous studies that…
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
MingXuan Xiao, Yufeng Li, Xu Yan +2
Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast ca…
Survival Prediction Across Diverse Cancer Types Using Neural Networks
Xu Yan, Weimin Wang, MingXuan Xiao +2
Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes. In response to the critical ne…
Breast Cancer Image Classification Method Based on Deep Transfer Learning
Weimin Wang, Yufeng Li, Xu Yan +2
To address the issues of limited samples, time-consuming feature design, and low accuracy in detection and classification of breast cancer pathological images, a breast cancer imag…