27Dec 2021
Machine learning can identify patients at risk of hyperparathyroidism without known calcium and intact parathyroid hormone

Machine learning can identify patients at risk of hyperparathyroidism without known calcium and intact parathyroid hormone

To prove the concept of diagnosing primary hyperparathyroidism (pHPT) without calcium and parathyroid hormone (PTH) values and identifying potential risk factors for pHPT. Data were extracted from the clinical data warehouse (CDW) at the University of Arkansas for Medical Sciences (UAMS) Epic EHR (2014–2019). 1737 patients with over 185 000 rows of clinical data were provided in a relational structure and processed/flattened to facilitate modeling. Phenotype elements were identified for pHPT without advance knowledge of calcium and PTH levels...

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