Data processing pipeline for cardiogenic shock prediction using machine learning

HIGHLIGHTS

• who: Nikola Jajcay and colleagues from the Institute of Cardiovascular Diseases, Bratislava, Slovakia, Faculty of Medicine, Comenius University in have published the article: Data processing pipeline for cardiogenic shock prediction using machine learning, in the Journal: (JOURNAL) of 23/03/2023

SUMMARY

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ACRONYMS

LAY DEFINITIONS

• shock: Circulatory shock, commonly known as shock, is a life-threatening medical condition of low blood perfusion to tissues resulting in cellular injury and inadequate tissue function. The typical signs of shock are low blood pressure, rapid heart rate, signs of poor . . .
  

   

  

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