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Rapid and non-invasive diagnosis of hyperkalemia in patients with systolic myocardial failure using a model based on machine learning algorithms.

Hamid M TorshiziMohammad R KhorgamiNegar OmidiFattaneh KhalajMohsen Ahmadi
Published in: Journal of family medicine and primary care (2024)
A lead2-based RF classification model may help clinicians to rapidly detect severe dyskalemias as a non-invasive method and prevent life-threatening cardiac conditions due to hyperkalemia.
Keyphrases
  • machine learning
  • left ventricular
  • deep learning
  • heart failure
  • blood pressure
  • big data
  • palliative care
  • early onset
  • atrial fibrillation
  • sensitive detection