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Generation and validation of algorithms to identify subjects with dementia using administrative data.

DiFrancesco Jacopo CosimoAlessandra PinaGiorgia GiussaniLaura CortesiElisa BianchiLuca Cavalieri d'OroEmanuele AmodioAlessandro NobiliLucio TremolizzoValeria IsellaIldebrando AppollonioCarlo FerrareseEttore Beghi
Published in: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology (2019)
These results show that algorithms obtained from administrative data are not sufficiently accurate in classifying patients with dementia, whichever combination of variables is used for the identification of the disease. Studies in large patient cohorts are needed to develop further strategies for identifying patients with dementia in the community setting.
Keyphrases
  • mild cognitive impairment
  • machine learning
  • cognitive impairment
  • electronic health record
  • big data
  • deep learning
  • healthcare
  • mental health
  • high resolution
  • data analysis
  • mass spectrometry