WithdrawnNot Applicable

Serum Potassium Prediction Using Machine Learning and Single-lead ECG

Stopped: Lack of resources

United States0Started 2021-03-20

Plain-language summary

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.

Who can participate

Age range18 Years

SexALL

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Was a subject in the Brigham and Women's Home Hospital study and has a completed record in the study's database.

What they're measuring

Serum potassium concentration

Timeframe: From date of admission to date of discharge, through study completion on average 7 days.

Trial details

NCT IDNCT07493798

SponsorBrigham and Women's Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2021-08-01

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