activity
20202026
most citedIdentifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach

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

collaborators

5 papers

cs.CL2026

Determinants of Training Corpus Size for Clinical Text Classification

Jaya Chaturvedi, Saniya Deshpande, Chenkai Ma +5

Introduction: Clinical text classification using natural language processing (NLP) models requires adequate training data to achieve optimal performance. For that, 200-500 document…

cs.LG2023

Sample Size in Natural Language Processing within Healthcare Research

Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer +4

Sample size calculation is an essential step in most data-based disciplines. Large enough samples ensure representativeness of the population and determine the precision of estimat…

cs.LG2023

Development of a Knowledge Graph Embeddings Model for Pain

Jaya Chaturvedi, Tao Wang, Sumithra Velupillai +2

Pain is a complex concept that can interconnect with other concepts such as a disorder that might cause pain, a medication that might relieve pain, and so on. To fully understand t…

cs.CL2023★ 2 cited

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach

Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart +1

Pain is a common reason for accessing healthcare resources and is a growing area of research, especially in its overlap with mental health. Mental health electronic health records…

cs.CL2020★ 1 cited

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR

Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic +9

Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records. In t…