Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease
下載地址：https://arxiv.org/pdf/1912.03761v1.pdf code：https://github.com/NYUMedML/GNN_for_EHR 摘要 基於電子病歷和圖神經網絡預測AD。 本文根據真實的EHR能夠提前12-24個月預測AD,並且在稀疏電子病歷中改善了預測性能。另外，本文通過模型學習每個圖結構，進一步探索了不同診斷、實驗室值以及電子病歷流程之間的結構關
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相關文章
- 1. Towards Alzheimer’s Disease Classification through Transfer Learning
- 2. 論文：Scalable and accurate deep learning for electronic health records研讀筆記
- 3. MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
- 4. Review on The Graph Neural Network Model
- 5. GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
- 6. Predicting drug–disease associations through layer attention graph convolutional network 論文解析
- 7. 【論文導讀】Scalable and Accurate Deep Learning for Electronic Health Records
- 8. An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
- 9. Graph Neural Network Review
- 10. Paper Notes: A Comprehensive Survey on Graph Neural Networks