Evaluation of multiple machine learning models predicting the results of hybrid imaging in primary hyperparathyroidism
Logistic regression and RF models were the most effective in predicting radiotracer uptake in pre-operative hybrid imaging of the parathyroids, suggesting their suitability as the foundation for software to be used in clinical settings. However, opting for the CART model, despite its easier interpretation, would come at the expense of performance.
Authors
- Grzegorz Sokołowski (ORCID: https://orcid.org/0000-0001-5852-0154)
- Alicja Hubalewska‐Dydejczyk (ORCID: https://orcid.org/0000-0001-5208-4689)
- Jacek Podlewski
- Karolina Kucharczyk
- Anna Drynda (ORCID: https://orcid.org/0009-0009-5556-2637)
- Anna Sowa-Staszczak (ORCID: https://orcid.org/0000-0001-7872-8833)
- Małgorzata Trofimiuk–Müldner (ORCID: https://orcid.org/0000-0001-5247-9760)
Institutions
- Jagiellonian University (PL)
Publication Details
- Journal
- Nuclear Medicine Review
- Published
- 2025-03-10
- DOI
- https://doi.org/10.5603/nmr.105377
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00