Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease

时间 2021-01-02

标签深度学习 paper notes 人工智能 python 栏目系统网络繁體版

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下载地址：https://arxiv.org/pdf/1912.03761v1.pdf code：https://github.com/NYUMedML/GNN_for_EHR 摘要基于电子病历和图神经网络预测AD。本文根据真实的EHR能够提前12-24个月预测AD,并且在稀疏电子病历中改善了预测性能。另外，本文通过模型学习每个图结构，进一步探索了不同诊断、实验室值以及电子病历流程之间的结构关

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1. Towards Alzheimer’s Disease Classification through Transfer Learning
2. 论文：Scalable and accurate deep learning for electronic health records研读笔记
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 论文解析
7. 【论文导读】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
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1. Towards Alzheimer’s Disease Classification through Transfer Learning
2. 论文：Scalable and accurate deep learning for electronic health records研读笔记
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 论文解析
7. 【论文导读】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

>>更多相关文章<<