(2017BIBM) Personalized disease prediction using a CNN-based similarity learning method

时间 2021-01-02

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论文： https://ieeexplore.ieee.org/document/8217759 以往都是使用整个训练数据来构建全局模型，本文是找到与所预测个体相似的群体，然后建立个性化模型来进行预测。文章主体分为两大部分：相似性学习，个性化预测。相似性学习 1）Basic Notations： medical codes -->ICD-9 one-hot编码–>一维向量–>多次就诊向量按时间

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1. [Kaggle] Heart Disease Prediction
2. Personalized Defect Prediction
3. Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach
4. Urban flow prediction from spatiotemporal data using machine learning: A survey
5. Paper reading (三十一)：Personalized Nutrition by Prediction of Glycemic Responses（overview）
6. 论文笔记：Tag-Aware Personalized Recommendation Using a Hybrid Deep Model
7. A gradient boosting method to improve travel time prediction
8. Towards Alzheimer’s Disease Classification through Transfer Learning
9. Learning a Similarity Metric Discriminatively, with Application to Face Verification
10. Learning a Similarity Metric Discriminatively, with Application to Face Verification.

>>更多相关文章<<