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Dr Jaya Chaturvedi
Research Associate in Health-Related Natural Language Processing
Pronouns
she/her
Biography
Dr Jaya Chaturvedi joined King’s College London as a Research Assistant in May 2018 and worked at the NIHR Maudsley Biomedical Research Centre with CRIS data on a project aimed at predicting hospital admissions due to dental disorders in patients with severe mental illnesses.
Dr Chaturvedi moved into the role of Pre-Doctoral Researcher on the Pathfinder Project in January 2019. She worked on collaborating with different universities and sharing NLP applications.
Dr Chaturvedi's background is in dentistry and holds a Bachelor of Dental Surgery degree from India. She has over five years of experience in data analytics from a variety of industries in Canada. She also holds an MSc in Health Informatics from City, University of London where she was also awarded best dissertation project.
She completed her PhD with the Department of Biostatistics & Health Informatics as part of the DRIVE-Health Doctoral Training Programme in April 2024, studying extraction of pain mentions from mental health records using natural language processing methods. She is now a Research Associate in the Department.
Research interests
- Natural Language Processing
- Pain and Mental Health
- Health Informatics
Teaching
- 'Natural Language Processing' MSc module
- 'Python' MSc module
Expertise and public engagement
- Early Career Researchers Communication Committee Member, International Association for the Study of Pain
- IoPPN Culture, Equality, Diversity and Inclusion Data Task Force Committee Member
- Stemettes volunteer
- Blogs: Identifying mentions of pain in mental health records text: A natural language processing (NLP) approach (NIHR Maudsley BRC, 2023); Use of free-text clinical data in healthcare and research (DRIVE-Health, 2022)
Research
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Advance Choice Documents Implementation (ACDI)
ACDI aims to address the research-to-practice implementation gap for advance choice documents.
Project status: Ongoing
Research
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Advance Choice Documents Implementation (ACDI)
ACDI aims to address the research-to-practice implementation gap for advance choice documents.
Project status: Ongoing