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20182020
most citedImproving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning

62 citations · 111 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL2020★ 1 cited

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…

cs.CL2019★ 4 cited

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…

cs.CL2019★ 3 cited

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…

cs.CL2018★ 62 cited

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…

cs.CL2018★ 41 cited

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…