From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning

From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning

As a result of social progress and improved living conditions, which have contributed to a prolonged life expectancy, the prevalence of strokes has increased and has become a significant phenomenon. Despite the available stroke treatment options, patients frequently suffer from significant disabilit...

Full description

Bibliographic Details
Main Authors: Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, Serafeim Moustakidis, Elena Gkartzonika, Theodoros Avramidis, Gregory Tripsianis, Ioannis Iliopoulos, Nikolaos Aggelousis, Konstantinos Vadikolias
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Journal of Personalized Medicine
Subjects:
stroke
biomarkers
severity
artificial intelligence
prognosis
interpretation
Online Access:https://www.mdpi.com/2075-4426/13/9/1375

Internet

https://www.mdpi.com/2075-4426/13/9/1375

Similar Items