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Risk and protective factors in Parkinson's disease: a simultaneous and prospective study with classical statistical and novel machine learning models.

Alessandro GialluisiMaria Ilenia De BartoloSimona CostanzoDaniele BelvisiStefania FalcigliaMoreno RicciAugusto Di CastelnuovoTeresa PanzeraMaria Benedetta DonatiGiovanni FabbriniGiovanni de GaetanoAlfredo BerardelliLicia Iacoviello
Published in: Journal of neurology (2023)
This study sheds light on the role of dysthyroidism, diabetes and hypertension in PD onset, characterized to date by an uncertain relationship with PD, and also confirms the relevance of most factors (age, sex, coffee intake, daily physical activity) reportedly shown be associated with PD. Further methodological developments in SRF models will allow to untangle the nature of the potential non-linear relationships identified.
Keyphrases
  • physical activity
  • machine learning
  • blood pressure
  • type diabetes
  • body mass index
  • artificial intelligence
  • glycemic control
  • big data
  • deep learning
  • sleep quality
  • weight gain
  • skeletal muscle