- Title
- Exploring the relationship between testosterone and diabetes within the UK Biobank data
- Creator
- Oatley, Giles
- Date
- 2023
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/193652
- Identifier
- vital:18218
- Identifier
-
https://doi.org/10.1145/3579375.3579413
- Identifier
- ISBN:9798400700057 (ISBN)
- Abstract
- The UK Biobank (UKB) cohort data aims to improve the prevention, diagnosis, and treatment of a wide range of serious diseases, including diabetes. Presented is a population-based retrospective cohort study to explore the relationship between steroid hormones and the prevalence of diabetes. In particular, free testosterone is calculated from available serum biochemical markers in the UKB data, prevalent diabetes is calculated across a range of UKB data fields and ICD10 codes are generalized to their top-level classifications. It is then possible to explore relationships between testosterone levels, diabetes presence, and associated morbidities. © 2023 ACM.
- Publisher
- Association for Computing Machinery
- Relation
- 2023 Australasian Computer Science Week, ACSW 2023, Melbourne Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 244-247
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2023 ACM
- Subject
- Comorbidity; Diabetes; Exploratory data analysis; Testosterone; UK Biobank
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