(2017BIBM) Personalized disease prediction using a CNN-based similarity learning method
論文： https://ieeexplore.ieee.org/document/8217759 以往都是使用整個訓練數據來構建全局模型，本文是找到與所預測個體相似的羣體，然後建立個性化模型來進行預測。 文章主體分爲兩大部分：相似性學習，個性化預測。 相似性學習 1）Basic Notations： medical codes -->ICD-9 one-hot編碼–>一維向量–>多次就診向量按時間
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相關文章
- 1. [Kaggle] Heart Disease Prediction
- 2. Personalized Defect Prediction
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