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Found 5 papers, 2 papers with code
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation
Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare.
Medication Recommendation via Domain Knowledge Informed Deep Learning
However, most of them neglect incorporating domain knowledge according to the clinical manifestations in the EHR of the patient.
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
The effectiveness and efficiency of these systems heavily depend on the quality of the training datasets.
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
It is a time-aware, event-aware and task-adaptive method with the following advantages: 1) modeling heterogeneous information and temporal information in a unified way and considering temporal irregular characteristics locally and globally respectively, 2) taking full advantage of correlations among different types of events via cross-event attention.
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.
