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Serum Potassium Prediction Using Machine Learning and Single-lead ECG
Serum Potassium Prediction Using Machine Learning and Single-lead ECG

NCT07493798

WithdrawnN/A

Sponsor: Brigham and Women's Hospital

Conditions: Infection, Heart Failure, Chronic Obstructive Pulmonary Disease, Asthma, Gout Flare

Interventions: Potassium estimation algorithm

Countries: United States

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.

Eligibility overview

Sex: ALL

Age: 18 Years to —

Healthy volunteers: No

Study type: OBSERVATIONAL

Eligibility criteria
Was a subject in the Brigham and Women's Home Hospital study and has a completed record in the study's database.
Locations (2)
  • Boston, Massachusetts, United States
  • Boston, Massachusetts, United States