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Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks
We introduce HTAD, a novel model for diagnosis prediction using Electronic Health Records (EHR) represented as Heterogeneous Information Networks.
Unsupervised Prediction of Negative Health Events Ahead of Time
The emergence of continuous health monitoring and the availability of an enormous amount of time series data has provided a great opportunity for the advancement of personal health tracking.
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
To the best of our knowledge, this is the first study to use Heterogeneous Information Network for modeling clinical data and disease diagnosis.
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