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Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers

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Published in:Journal of Molecular Neuroscience
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Molecular Neuroscience
description
discipline_display Psychiatry and Neurology
discipline_facet Psychiatry and Neurology
format Online Article
RSS Article
genre Journal Article
id rss_article:59200
institution FRELIP
journal_source_facet Journal of Molecular Neuroscience
last_indexed 2026-06-20T21:22:12.264Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
Psychiatry and Neurology
General
Psychiatry and Neurology
sub_discipline_display General
sub_discipline_facet General
subject_display Psychiatry and Neurology
General
Psychiatry and Neurology
subject_facet Psychiatry and Neurology
General
Psychiatry and Neurology
title Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_alt Desarrollo y validación de un modelo de aprendizaje automático interpretable por SHAP para la predicción del riesgo de ictus utilizando biomarcadores de microARN circulantes
Développement et validation d'un modèle d'apprentissage automatique interprétable par SHAP pour la prédiction du risque d'AVC utilisant des biomarqueurs d'ARN circulant
Desenvolvimento e Validação de um Modelo de Aprendizado de Máquina Interpretável por SHAP para Predição de Risco de AVC Usando Biomarcadores de microRNA Circulantes
title_auth Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_es_txt Desarrollo y validación de un modelo de aprendizaje automático interpretable por SHAP para la predicción del riesgo de ictus utilizando biomarcadores de microARN circulantes
title_fr_txt Développement et validation d'un modèle d'apprentissage automatique interprétable par SHAP pour la prédiction du risque d'AVC utilisant des biomarqueurs d'ARN circulant
title_full Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_fullStr Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_full_unstemmed Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_pt_txt Desenvolvimento e Validação de um Modelo de Aprendizado de Máquina Interpretável por SHAP para Predição de Risco de AVC Usando Biomarcadores de microRNA Circulantes
title_short Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers
title_sort development and validation of a shap-interpretable machine learning model for stroke risk prediction using circulating microrna biomarkers
topic Psychiatry and Neurology
General
Psychiatry and Neurology
url https://link.springer.com/article/10.1007/s12031-026-02540-x