activity
20212024
most citedA Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases

1 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CL2021

Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case

Jingqing Zhang, Luis Bolanos, Tong Li +6

Contextualised word embeddings is a powerful tool to detect contextual synonyms. However, most of the current state-of-the-art (SOTA) deep learning concept extraction methods remai…

cs.CL2021★ 1 cited

Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases

Jingqing Zhang, Luis Bolanos, Ashwani Tanwar +3

Objective: Clinical notes contain information not present elsewhere, including drug response and symptoms, all of which are highly important when predicting key outcomes in acute c…