Can I read Predicting 1-Year Readmissions in Stroke Patients on EtoBox?

Predicting 1-Year Readmissions in Stroke Patients by Sowmya is a document available to read on EtoBox.

What is Predicting 1-Year Readmissions in Stroke Patients about?

This study developed an interpretable machine learning model to predict 1-year unplanned readmissions in ischemic stroke patients with type 2 diabetes by integrating inflammatory and metabolic biomarkers. The model, validated on 833 patients, identified key predictors such as age, neutrophil-to-lymphocyte ratio, and glycated hemoglobin, achieving an AUC of 0.78. A dynamic nomogram was created for individualized risk assessment, highlighting the model

Author

Sowmya

Language

EN