DRR: Global Context-Aware Neural Network Using Disease Relationship Reasoning and Attention-Based Feature Fusion

Zhixing Ding, Zhengqiang Li, Xi Li and Hao Li ()
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Zhixing Ding: The School of Information Science and Engineering, Yunnan University, Kunming 650504, China
Zhengqiang Li: The School of Information Science and Engineering, Yunnan University, Kunming 650504, China
Xi Li: The School of Information Science and Engineering, Yunnan University, Kunming 650504, China
Hao Li: The School of Information Science and Engineering, Yunnan University, Kunming 650504, China

Mathematics, 2024, vol. 12, issue 3, 1-12

Abstract: The prediction of future disease development based on past diagnosis records has gained significant attention due to the growing health awareness among individuals. Recent deep learning-based methods have successfully predicted disease development by establishing relationships for each diagnosis record and extracting features from a patient’s past diagnoses in chronological order. However, most of these models have ignored the connections between identified diseases and low-risk diseases, leading to bottlenecks and limitations. In addition, the extraction of temporal characteristics is also hindered by the problem of global feature forgetting. To address these issues, we propose a global context-aware net using disease relationship reasoning and attention-based feature fusion, abbreviated as DRR. Our model incorporates a disease relationship reasoning module that enhances the model’s attention to the relationship between confirmed diseases and low-risk diseases, thereby alleviating the current model’s bottlenecks. Moreover, we have established a global graph-based feature fusion module that integrates global graph-based features with temporal features, mitigating the issue of global feature forgetting. Extensive experiments were conducted on two publicly available datasets, and the experiments show that our method achieves advanced performance.

Keywords: disease prediction; disease relationship reasoning; graph-based feature (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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