Back
#1
23.4%
Top 0.6%
15.4%
Top 1.0%
11.6%
Top 0.9%
6.8%
Top 3%
6.8%
Top 1%
6.8%
Top 2%
6.3%
Top 54%
5.3%
Top 3%
2.0%
Top 4%
1.6%
Top 4%
1.6%
Top 94%
1.6%
Top 0.8%
1.2%
Top 53%
1.0%
Top 6%
1.0%
Top 16%
0.5%
Scaling text de-identification using locally augmented ensembles
2024-06-20
health informatics
Title + abstract only
View on medRxiv
Show abstract
The natural language text in electronic health records (EHRs), such as clinical notes, often contains information that is not captured elsewhere (e.g., degree of disease progression and responsiveness to treatment) and, thus, is invaluable for downstream clinical analysis. However, to make such data available for broader research purposes, in the United States, personally identifiable information (PII) is typically removed from the EHR in accordance with the Privacy Rule of the Health Insurance ...
Predicted journal destinations
1
Journal of Biomedical Informatics
37 training papers
2
Journal of the American Medical Informatics Association
53 training papers
3
npj Digital Medicine
85 training papers
4
BMC Medical Informatics and Decision Making
36 training papers
5
PLOS Digital Health
88 training papers
6
JAMIA Open
35 training papers
7
Journal of Medical Internet Research
81 training papers
8
Scientific Reports
701 training papers
9
International Journal of Medical Informatics
25 training papers
10
Computers in Biology and Medicine
39 training papers
11
JMIR Medical Informatics
16 training papers
12
PLOS ONE
1737 training papers
13
Patterns
15 training papers
14
Nature Communications
483 training papers
15
BMC Medical Research Methodology
41 training papers
16
PLOS Computational Biology
141 training papers