arXiv:1904.05342cs.CL
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
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Abstract
Clinical notes contain information about patients that goes beyond structured data like lab values and medications. However, clinical notes have been underused relative to structured data, because notes are high-dimensional and sparse. This work develops and evaluates representations of clinical notes using bidirectional transformers (ClinicalBERT). ClinicalBERT uncovers high-quality relationships between medical concepts as judged by humans. ClinicalBert outperforms baselines on 30-day hospital readmission prediction using both discharge summaries and the first few days of notes in the intensive care unit. Code and model parameters are available.
If you look at the files, many of them are not compliant, and so we need to figure out what the associated line item corresponds to: a CPT code? HCPCS code? ICD code? etc :) Here's an example NLP tool I helped build we're using to do this: https://arxiv.org/abs/1904.05342…
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