A Machine Learning Predictive Model of Bloodstream Infection in Hospitalized Patients
The aim of the study was to build a machine learning-based predictive model to discriminate
between hospitalized patients at low risk and high risk of bloodstream infection (BSI). A Data …
between hospitalized patients at low risk and high risk of bloodstream infection (BSI). A Data …
Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data
YS Hwang, S Kim, I Yim, Y Park, S Kang… - International Journal of …, 2024 - Elsevier
Background Ischemic stroke affects 15 million people worldwide, causing five million deaths
annually. Despite declining mortality rates, stroke incidence and readmission risks remain …
annually. Despite declining mortality rates, stroke incidence and readmission risks remain …
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
Background: Intracerebral hemorrhage (ICH) is a life-risking condition characterized by
bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome …
bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome …