Personal profile
Research overview
Dr Utkarsh Agrawal is a Research Fellow in Health Data Science and is currently working on the multimorbidity project to analyse multiple different datasets that hold information on over 10 million people. His research will focus on using data science and machine learning algorithms to answer multimorbidity related question such as which diseases and conditions are found together, how they develop as people age and which diseases (or their combination) cause the most problems for people and the health service.
Before joining the University of St Andrews, Utkarsh worked as Research Associate in School of Computer Science at the University of Nottingham. Utkarsh also received his PhD from University of Nottingham and his research interests include data fusion, data science, and applied machine learning in real-world applications.
Research interests
Health Data Science, Machine Learning, Electronic Health Records, Multimorbidity
Profile Keywords
Health Data Science, Machine Learning, Health Record Analysis
Academic/Professional Qualification
Research Fellow in Health Data Science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
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Collaborations and top research areas from the last five years
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Prevalence and patterns of pre-existing multimorbidity in pregnancy in Northern Ireland: a population-based, retrospective study using linked routinely collected healthcare data
Kent, L., Lee, S. I., Singh, M., Wambua, S., Phillips, K., Agrawal, U., Azcoaga-Lorenzo, A., McCowan, C., Kennedy, J., Hope, H., Moss, N., Plachcinski, R., Nelson-Piercy, C., Black, M., Brophy, S., Maguire, A., O'Reilly, D., Nirantharakumar, K., Eastwood, K.-A. & MuM-PreDiCT Group, 7 Jun 2025, In: BMC Medicine. 25, p. 1-19 19 p., 666.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Subclinical hypothyroidism in Wales from 2000 to 2021: A descriptive cohort study based on electronic health records
Bauer, B. S., Azcoaga-Lorenzo, A., Agrawal, U., Fagbamigbe, A. F. & McCowan, C., 21 May 2024, In: PLoS ONE. 19, 5 May, 18 p., e0298871.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Accelerated waning of the humoral response to COVID-19 vaccines in obesity
van der Klaauw, A. A., Horner, E. C., Pereyra-Gerber, P., Agrawal, U., Foster, W. S., Spencer, S., Vergese, B., Smith, M., Henning, E., Ramsay, I. D., Smith, J. A., Guillaume, S. M., Sharpe, H. J., Hay, I. M., Thompson, S., Innocentin, S., Booth, L. H., Robertson, C., McCowan, C. & Kerr, S. & 27 others, , 11 May 2023, In: Nature Medicine. 29, 5, p. 1146-1154 9 p.Research output: Contribution to journal › Article › peer-review
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Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland
Fagbamigbe, A. F., Agrawal, U., Azcoaga-Lorenzo, A., MacKerron, B., Özyiğit, E. B., Alexander, D. C., Akbari, A., Owen, R. K., Lyons, J., Lyons, R. A., Denaxas, S., Kirk, P., Miller, A. C., Harper, G., Dezateux, C., Brookes, A., Richardson, S., Nirantharakumar, K., Guthrie, B. & Hughes, L. & 4 others, , 29 Nov 2023, In: PLoS ONE. 18, 11, 14 p., e0294666.Research output: Contribution to journal › Article › peer-review
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Confirmed SARS-CoV-2 infection in Scottish neonates 2020-2022: a national, population-based cohort study
Goulding, A., McQuaid, F., Lindsay, L., Agrawal, U., Auyeung, B., Calvert, C., Carruthers, J., Denny, C., Donaghy, J., Hillman, S., Hopcroft, L., Hopkins, L., McCowan, C., McLaughlin, T., Moore, E., Ritchie, L., Simpson, C. R., Taylor, B., Fenton, L. & Pollock, L. & 6 others, , 1 Jul 2023, In: Archives of Disease in Childhood. 108, 4, p. 367-372 6 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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EAVE-II / EAVE-II-data-dictionary (dataset)
Agrawal, U. (Creator), McCowan, C. (Creator), Azcoaga-Lorenzo, A. (Creator) & Fagbamigbe, A. (Creator), GitHub, 20 Jul 2021
https://github.com/EAVE-II/EAVE-II-data-dictionary
Dataset
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COVID-19 hospital admissions and deaths after BNT162b2 and ChAdOx1 nCoV-19 vaccinations in 2·57 million people in Scotland (EAVE II): a prospective cohort study (code)
Agrawal, U. (Creator), McCowan, C. (Creator), Azcoaga-Lorenzo, A. (Creator) & Fagbamigbe, A. (Creator), GitHub, 2021
https://github.com/EAVE-II/Covid-vaccine-failures
Dataset: Software
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Severe COVID-19 outcomes post full vaccination of primary 1 schedule and boosters (code)
Agrawal, U. (Creator), McCowan, C. (Creator), Azcoaga-Lorenzo, A. (Creator) & Fagbamigbe, A. (Creator), GitHub, 2022
https://github.com/EAVE-II/Covid-breakthrough-post-first-booster
Dataset: Software
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Additional files of Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019
Subramanian, A. (Creator), Azcoaga-Lorenzo, A. (Creator), Anand, A. (Creator), Phillips, K. (Creator), Lee, S. I. (Creator), Cockburn, N. (Creator), Fagbamigbe, A. F. (Creator), Damase-Michel, C. (Creator), Yau, C. (Creator), McCowan, C. (Creator), O’Reilly, D. (Creator), Santorelli, G. (Creator), Hope, H. (Creator), Kennedy, J. I. (Creator), Abel, K. M. (Creator), Eastwood, K.-A. (Creator), Locock, L. (Creator), Black, M. (Creator), Loane, M. (Creator), Moss, N. (Creator), Plachcinski, R. (Creator), Thangaratinam, S. (Creator), Brophy, S. (Creator), Agrawal, U. (Creator), Vowles, Z. (Creator), Brocklehurst, P. (Creator), Dolk, H. (Creator), Nelson-Piercy, C. (Creator) & Nirantharakumar, K. (Creator), Figshare, 2023
DOI: 10.6084/m9.figshare.22599964, https://doi.org/10.6084/m9.figshare.22599967.v1 and 2 more links, https://doi.org/10.6084/m9.figshare.22599961.v1, https://doi.org/10.6084/m9.figshare.22599970.v1 (show fewer)
Dataset
Projects
- 1 Finished
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MuM-PreDiCCT: Multimorbid Pregnancy: Determinants, Clusters, Consequences and Trajectories (MuM-PreDiCT)
McCowan, C. (PI), Agrawal, U. (CoI) & Azcoaga-Lorenzo, A. (CoI)
1/09/21 → 31/08/24
Project: Standard
Activities
- 1 Other
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Data Contained in Electronic Health Records Associated with Risk of Lung Cancer: A Protocol for a Systematic Review
Brown, L. (Participant), Agrawal, U. (Participant), Sullivan, F. (Participant) & Kelsey, T. (Participant)
21 Sept 2021Activity: Other activity types › Other