Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database.

Kevin C J YuenAnna Camilla BirkegardLewis S BlevinsDavid R ClemmonsAndrew R HoffmanNicky KelepourisJanice M KerrJens M TarpMaria Fleseriu

Published in: International journal of endocrinology (2022)

This algorithm may represent a cost-effective approach to improve AGHD detection rates by identifying appropriate patients for further diagnostic testing and potential GH replacement treatment.

Keyphrases

growth hormone
healthcare
end stage renal disease
machine learning
deep learning
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
young adults
label free
climate change
patient reported
quantum dots
adverse drug