Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers

INTRODUCTION: Hematological indices including red cell distribution width and neutrophil to lymphocyte ratio are proven to be associated with outcomes of acute coronary syndrome. The usefulness of machine learning techniques in predicting mortality after acute coronary syndrome based on such feature...

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Detalles Bibliográficos
Autores principales: Pieszko, Konrad, Hiczkiewicz, Jarosław, Budzianowski, Paweł, Budzianowski, Jan, Rzeźniczak, Janusz, Pieszko, Karolina, Burchardt, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374871/
https://www.ncbi.nlm.nih.gov/pubmed/30838085
http://dx.doi.org/10.1155/2019/9056402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374871/
https://www.ncbi.nlm.nih.gov/pubmed/30838085
http://dx.doi.org/10.1155/2019/9056402

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