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

Melody L GreerKyle DavisBrendan C Stack

Published in: Head & neck (2021)

Primary hyperparathyroidism was predicted from a dataset excluding calcium and PTH data with 86% accuracy. This approach needs to be validated/refined on larger samples of data and plans are in place to do this with other regional/national datasets.

Keyphrases

machine learning
big data
electronic health record
artificial intelligence
quality improvement
health insurance
data analysis
rna seq
single cell