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Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction
2018
Asian Conference on Machine Learning
Predicting medicines for patients with co-morbidity has long been recognized as a hard task due to complex dependencies between diseases and medicines. Efforts have been made recently to build high-order dependency between diseases and medicines by extracting knowledge from electronic health records (EHR). But current works failed to utilize additional knowledge and ignored the data skewness problem which lead to sub-optimal combination of medicines. In this paper, we formulate the medicines
dblp:conf/acml/ShangHZWL18
fatcat:b4eaowe2ijavndrsi2ocxfhv5a