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Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy

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Published in:Journal of Blood Medicine
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Blood Medicine
description
discipline_display Hematology
discipline_facet Hematology
format Online Article
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genre Journal Article
id rss_article:69134
institution FRELIP
journal_source_facet Journal of Blood Medicine
last_indexed 2026-06-20T21:28:52.253Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
Hematology
General
Hematology
sub_discipline_display General
sub_discipline_facet General
subject_display Hematology
General
Hematology
subject_facet Hematology
General
Hematology
title Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_alt Desarrollo y validación de un modelo de aprendizaje automático interpretable para predecir el riesgo de trombocitemia durante la terapia con cefalosporinas de tercera generación
Développement et validation d'un modèle d'apprentissage automatique interprétable pour prédire le risque de thrombocytémie pendant le traitement par céphalosporine de troisième génération
Desenvolvimento e validação de um modelo de aprendizado de máquina interpretável para prever risco de trombocitemia durante terapia com cefalosporina de terceira geração
title_auth Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_es_txt Desarrollo y validación de un modelo de aprendizaje automático interpretable para predecir el riesgo de trombocitemia durante la terapia con cefalosporinas de tercera generación
title_fr_txt Développement et validation d'un modèle d'apprentissage automatique interprétable pour prédire le risque de thrombocytémie pendant le traitement par céphalosporine de troisième génération
title_full Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_fullStr Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_full_unstemmed Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_pt_txt Desenvolvimento e validação de um modelo de aprendizado de máquina interpretável para prever risco de trombocitemia durante terapia com cefalosporina de terceira geração
title_short Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy
title_sort development and validation of an interpretable machine learning model for predicting thrombocythemia risk during third generation cephalosporin therapy
topic Hematology
General
Hematology
url https://www.dovepress.com/development-and-validation-of-an-interpretable-machine-learning-mode-2-peer-reviewed-fulltext-article-JBM