activity
20172023
most citedUBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023

RESTORE: Graph Embedding Assessment Through Reconstruction

Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee +4

Following the success of Word2Vec embeddings, graph embeddings (GEs) have gained substantial traction. GEs are commonly generated and evaluated extrinsically on downstream applicat…

cs.CL2022★ 2 cited

UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus

Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj +7

The UMLS Metathesaurus integrates more than 200 biomedical source vocabularies. During the Metathesaurus construction process, synonymous terms are clustered into concepts by human…

cs.CL2021

Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus

Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene +5

The current UMLS (Unified Medical Language System) Metathesaurus construction process for integrating over 200 biomedical source vocabularies is expensive and error-prone as it rel…

cs.CY2018

Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application

Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip +4

Objective: Asthma is a chronic pulmonary disease with multiple triggers manifesting as symptoms with various intensities. This paper evaluates the suitability of long-term monitori…

cs.CY2017

How will the Internet of Things enable Augmented Personalized Health?

Amit Sheth, Utkarshani Jaimini, Hong Yung Yip

Internet-of-Things (IoT) is profoundly redefining the way we create, consume, and share information. Health aficionados and citizens are increasingly using IoT technologies to trac…