Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic

Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic

<i>Background and Objectives</i>: Diabetic foot sepsis (DFS) accounts for approximately 60% of hospital admissions in patients with diabetes mellitus (DM). Individuals with DM are at risk of severe COVID-19. This study investigated factors associated with major amputation and mortality i...

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Bibliographic Details
Main Authors: Carlos Matsinhe, Shingirai Brenda Kagodora, Tshifhiwa Mukheli, Tshepo Polly Mokoena, William Khabe Malebati, Maeyane Stephens Moeng, Thifhelimbilu Emmanuel Luvhengo
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Medicina
Subjects:
diabetic foot sepsis
COVID-19
HIV
machine learning
mortality
Online Access:https://www.mdpi.com/1648-9144/60/10/1718
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