Identifying Protective Drugs for Parkinson's Disease in Health-Care Databases Using Machine Learning.

Émeline Courtois Thi Thu Ha Nguyen Agnès Fournier Laura Carcaillon-Bentata Élodie Moutengou Sylvie Escolano Pascale Tubert-Bitter Alexis Elbaz Anne C M Thiébaut Ismaïl Ahmed

Published in: Movement disorders : official journal of the Movement Disorder Society (2022)

We identified several signals that deserve to be confirmed in large studies with appropriate consideration of the potential for reverse causation. Our results illustrate the value of ML-based signal detection algorithms for identifying drugs inversely associated with PD risk in health-care databases. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keyphrases

healthcare
machine learning
big data
deep learning
randomized controlled trial
loop mediated isothermal amplification
case control
systematic review
real time pcr
risk assessment
affordable care act
social media
health insurance