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A Machine Learning Model to Predict Diuretic Resistance
Author(s) -
Joey Mercier,
Thomas W. Ferguson,
Navdeep Tangri
Publication year - 2022
Publication title -
kidney360
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2641-7650
DOI - 10.34067/kid.0005562022
Subject(s) - diuretic , machine learning , computer science , artificial intelligence , intensive care unit , ensemble learning , ensemble forecasting , data mining , intensive care medicine , medicine
Volume overload is a common complication encountered in hospitalized patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in some individuals is inadequate despite a typical dose of loop diuretics, a phenomenon called diuretic resistance. An accurate prediction model that predicts diuretic resistance using predosing variables could inform the right diuretic dose for a prospective patient.

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