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cs.LG2021
The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System
Der-Chen Chang, Ophir Frieder, Chi-Feng Hung +1
Distance metrics and their nonlinear variant play a crucial role in machine learning based real-world problem solving. We demonstrated how Euclidean and cosine distance measures di…
cs.LG2020★ 6 cited
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
Hao-Ren Yao, Der-Chen Chang, Ophir Frieder +3
We present an end-to-end, interpretable, deep-learning architecture to learn a graph kernel that predicts the outcome of chronic disease drug prescription. This is achieved through…