4 citations · 7 across the 2 of their papers we have counts for
6 papers
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network
Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya +2
Recent advancements in medical entity linking have been applied in the area of scientific literature and social media data. However, with the adoption of telemedicine and conversat…
LATTE: Latent Type Modeling for Biomedical Entity Linking
Ming Zhu, Busra Celikkaya, Parminder Bhatia +1
Entity linking is the task of linking mentions of named entities in natural language text, to entities in a curated knowledge-base. This is of significant importance in the biomedi…
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia +1
Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act (HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service l…
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak +11
Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data. In this study, we explore how clinic…
Dynamic Transfer Learning for Named Entity Recognition
Parminder Bhatia, Kristjan Arumae, Busra Celikkaya
State-of-the-art named entity recognition (NER) systems have been improving continuously using neural architectures over the past several years. However, many tasks including NER r…
Joint Entity Extraction and Assertion Detection for Clinical Text
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia
Negative medical findings are prevalent in clinical reports, yet discriminating them from positive findings remains a challenging task for information extraction. Most of the exist…