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Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

Mostafa ShanbehzadehMostafa ShanbehzadehHadi Kazemi-Arpanahi
Published in: BMC medical informatics and decision making (2023)
The predictive performance of ANFIS is more efficient than the other ML models in SA prediction. The development of a decision support system (DSS) using our prediction model can provide healthcare administrators and policymakers with a reliable and responsive tool to improve elderly outcomes.
Keyphrases
  • machine learning
  • healthcare
  • artificial intelligence
  • deep learning
  • big data
  • single cell
  • cancer therapy
  • middle aged
  • type diabetes
  • metabolic syndrome
  • weight loss
  • glycemic control