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Stress cardiomyopathy in hospitalized patients with cancer: machine learning analysis by primary malignancy type.

Awad I JavaidDominique J MonlezunGloria IliescuPhi TranAlexandru FilipescuNicolas PalaskasJuan Lopez-MatteiSaamir HassanPeter KimMohammad MadjidMehmet CilingirogluKonstantinos CharitakisKonstantinos MarmagkiolisCezar A IliescuEfstratios Koutroumpakis
Published in: ESC heart failure (2021)
This analysis demonstrates that primary malignancy type influences the likelihood of developing SC. Further studies will be necessary to delineate characteristics in patients with lung cancer and breast cancer which contribute to development of SC. Additional investigation should confirm lower mortality in patients with SC and breast cancer and determine possible explanations and protective factors.
Keyphrases
  • machine learning
  • heart failure
  • risk factors
  • cardiovascular events
  • type diabetes
  • coronary artery disease
  • deep learning