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A big data scheme for heart disease classification in map reduce using jellyfish search flow regime optimization enabled Spinalnet.

Antony Jaya Mabel RaniChinnapillai SrivenkateswaranGurunathan VishnupriyaNalini SubramanianPoonguzhali IlangoVijaya Kumar Jacintha
Published in: Pacing and clinical electrophysiology : PACE (2024)
The JSFRO-based SpinalNet offered effectual performance with the finest accuracy of 90.8%, sensitivity of 95.2% and specificity of 93.6%.
Keyphrases
  • big data
  • machine learning
  • artificial intelligence
  • deep learning
  • pulmonary hypertension
  • high density
  • structural basis