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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Vydáno v:Dis Markers
Hlavní autoři: Pieszko, Konrad, Hiczkiewicz, Jarosław, Budzianowski, Paweł, Budzianowski, Jan, Rzeźniczak, Janusz, Pieszko, Karolina, Burchardt, Paweł
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi 2019
Témata:
Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6374871/
https://ncbi.nlm.nih.gov/pubmed/30838085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/9056402
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