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Prediction of Cognitive Decline in Parkinson's Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems.

Mahdi HosseinzadehArman GorjiAli Fathi JouzdaniSeyed Masoud RezaeijoArman RahmimMohammadreza Salmapour
Published in: Diagnostics (Basel, Switzerland) (2023)
We demonstrated that CFs vitally contribute to predictive performance, and combining them with appropriate imaging features and HMLSs can result in the best prediction performance.
Keyphrases
  • cognitive decline
  • machine learning
  • high resolution
  • mild cognitive impairment
  • artificial intelligence
  • pet ct
  • deep learning
  • big data
  • mass spectrometry