Identification of Deterioration caused by AHF, MADS or CE by RR and QT Data Classification

• Published in: Informatika i avtomatizaciâ (Online) Vol. 21; no. 2; pp. 311 - 338
• Main Authors: Abramov, Maxim, Tsukanova, Ekaterina, Tulupyev, Alexander, Korepanova, Anastasia, Aleksanin, Sergei
• Format: Journal Article
• Language: English
• Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 01.03.2022
• Subjects: artificial intelligence; data science; deterioration identification; ecg analysis; ecg-based patient classification; logistic regression; machine learning; medical prediction; mortality risk stratification; qt interval; rr interval

A sharp deterioration of the patient’s condition against the backdrop of the development of life-threatening arrhythmias with symptoms of acute heart failure (AHF), multiple organ dysfunction syndrome (MODS) or cerebral edema (CE) can lead to the death of the patient. Since the known methods of auto...