Development of a Machine Learning Algorithm to Predict Abnormalities in Serum Phosphate in a Large Oncology Cohort
A MLA to optimize testing of phosphate has been developed with high sensitivity. Its application in routine care might result in cost-savings and health care efficiencies. The methodology used to develop our MLA model can be applied to other settings where interrelated variables are measured in SOS.
Authors
- Phillip J. Monaghan (ORCID: https://orcid.org/0000-0003-1778-3892)
- Lauren Scanlon (ORCID: https://orcid.org/0000-0001-7380-7145)
- Safwaan Adam (ORCID: https://orcid.org/0000-0001-8004-1897)
Institutions
- Manchester Academic Health Science Centre (GB)
- University of Manchester (GB)
- The Christie NHS Foundation Trust (GB)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1200/cci-24-00312
- Primary Topic
- Parathyroid Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00