Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control
To simulate a use-case, the accumulation of the prediction error over time was assessed. It was determined that an improvement in accuracy is expected if this model was to be deployed in practice.
Authors
- Tristan Richardson (ORCID: https://orcid.org/0000-0001-7505-7843)
- Rashid Bakirov (ORCID: https://orcid.org/0000-0002-2809-9626)
- Dominika Budka
- Thilo Reich (ORCID: https://orcid.org/0000-0001-7705-0987)
- Derek M. Kelly (ORCID: https://orcid.org/0000-0002-9113-3858)
- Marcin Budka (ORCID: https://orcid.org/0000-0003-0158-6309)
- James Smith
Institutions
- Royal Bournemouth Hospital (GB)
- Poole Hospital (GB)
- Bournemouth University (GB)
Publication Details
- Journal
- The Journal of Clinical Endocrinology & Metabolism
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1210/clinem/dgae642
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.47