Serum Potassium Prediction Using Machine Learning and Single-lead ECG

This is a retrospective study drawing on data from the Brigham and Women's Hospital Home Hospital Program's Database. Sociodemographic and clinical data from a training cohort were used to train a machine learning algorithm to predict blood potassium throughout a patient's admission. This algorithm was then validated in a validation cohort.

NCT Number	NCT07493798
Lead Sponsor	Brigham and Women's Hospital Collaborators: Biofourmis Inc.
Conditions	Infection, Heart Failure, Chronic Obstructive Pulmonary Disease, Asthma, Gout Flare, Chronic Kidney Diseases, Hypertensive Urgency, Atrial Fibrillation Rapid +1 more
Start Date	2021-03-20
Primary Completion	2021-08-01 (estimated)
Study Completion	2021-12-01 (estimated)
Updated on ClinicalTrials.gov	2026-03-25