Cargando…
An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
Stroke is an acute neurological dysfunction attributed to a focal injury of the central nervous system due to reduced blood flow to the brain. Nowadays, stroke is a global threat associated with premature death and huge economic consequences. Hence, there is an urgency to model the effect of several...
Autores principales: | Kokkotis, Christos, Giarmatzis, Georgios, Giannakou, Erasmia, Moustakidis, Serafeim, Tsatalas, Themistoklis, Tsiptsios, Dimitrios, Vadikolias, Konstantinos, Aggelousis, Nikolaos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600473/ https://www.ncbi.nlm.nih.gov/pubmed/36292081 http://dx.doi.org/10.3390/diagnostics12102392 |
Ejemplares similares
-
Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning
por: Gkantzios, Aimilios, et al.
Publicado: (2023) -
From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning
por: Gkantzios, Aimilios, et al.
Publicado: (2023) -
Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury
por: Kokkotis, Christos, et al.
Publicado: (2022) -
Identifying Gait-Related Functional Outcomes in Post-Knee Surgery Patients Using Machine Learning: A Systematic Review
por: Kokkotis, Christos, et al.
Publicado: (2022) -
Elucidating the Role of Baseline Leukoaraiosis on Forecasting Clinical Outcome of Acute Ischemic Stroke Patients Undergoing Reperfusion Therapy
por: Karatzetzou, Stella, et al.
Publicado: (2022)