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Found 5 papers, 1 papers with code
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets
Recent research advances achieve human-level accuracy for de-identifying free-text clinical notes on research datasets, but gaps remain in reproducing this in large real-world settings.
Understanding COVID-19 News Coverage using Medical NLP
Being a global pandemic, the COVID-19 outbreak received global media attention.
Mining Adverse Drug Reactions from Unstructured Mediums at Scale
Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs.
Deeper Clinical Document Understanding Using Relation Extraction
The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also semantically relate entities in unstructured data.
Ranked #1 on
Relation Extraction
on 2018 n2c2 posology
Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes
In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in an Electronic Health Record (EHR).
