Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis

Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis

Background: Lactic acidosis is the most common cause of anion gap metabolic acidosis in the intensive care unit (ICU), associated with poor outcomes including mortality. We sought to compare machine learning (ML) approaches versus logistic regression analysis for prediction of mortality in lactic ac...

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Autores principales: Pattharawin Pattharanitima, Charat Thongprayoon, Wisit Kaewput, Fawad Qureshi, Fahad Qureshi, Tananchai Petnak, Narat Srivali, Guido Gembillo, Oisin A. O’Corragain, Supavit Chesdachai, Saraschandra Vallabhajosyula, Pramod K. Guru, Michael A. Mao, Vesna D. Garovic, John J. Dillon, Wisit Cheungpasitporn
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
lactic acid
lactic acidosis
lactate
mortality
intensive care unit
machine learning
Medicine
R
Acceso en línea:https://doaj.org/article/a3e7d1176aa740038116d80ea6a4475f
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https://doaj.org/article/a3e7d1176aa740038116d80ea6a4475f

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