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Found 6 papers, 1 papers with code
Multi-task learning for interpretable cause of death classification using key phrase prediction
We introduce a multi-task learning model for cause-of-death classification of verbal autopsy narratives that jointly learns to output interpretable key phrases.
Listwise temporal ordering of events in clinical notes
We present metrics for listwise temporal ordering of events in clinical notes, as well as a baseline listwise temporal ranking model that generates a timeline of events that can be used in downstream medical natural language processing tasks.
Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives?
We present two models for combining word and character embeddings for cause-of-death classification of verbal autopsy reports using the text of the narratives.
Extracting relevant information from physician-patient dialogues for automated clinical note taking
We present a system for automatically extracting pertinent medical information from dialogues between clinicians and patients.
