重症监护室
变压器
计算机科学
病历
医院再入院
数据挖掘
医学
急诊医学
重症监护医学
工程类
内科学
电气工程
电压
作者
Kexin Huang,Jaan Altosaar,Rajesh Ranganath
出处
期刊:Cornell University - arXiv
日期:2019-01-01
被引量:462
标识
DOI:10.48550/arxiv.1904.05342
摘要
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.
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