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Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study.

Kenji NakanoKotaro NochiokaSatoshi YasudaDaito TamoriTakashi ShirotoYudai SatoEichi TakayaSatoshi MiyataEiryo KawakamiTetsuo IshikawaTakuya UedaHiroaki Shimokawa
Published in: ESC heart failure (2023)
These results suggest the potential applicability of the machine leaning approach, providing useful clinical prognostic information to stratify complex heterogeneity in patients with HF.
Keyphrases
  • machine learning
  • single cell
  • deep learning
  • ejection fraction
  • healthcare
  • health information
  • big data
  • social media
  • climate change