Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers
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BackgroundMachine learning offers new avenues for complementing traditional epidemiological approaches by analyzing routinely collected, population-based administrative health data.ObjectiveThis study aimed to identify potential exposomic predictors (hypothesi... ...
