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Conclusion: Using machine learning and natural language processing, we demonstrated the feasibility of constructing a clinical decision support tool to stratify stroke risk for ED patients with acute dizziness

doi: 10.1007/s10517-006-0323-9

PMID: 31420217 Nat Commun 2019 Jun 20;10(1):2701

After the groups comparison (group1 = poor outcome, group2 = favourable outcome for mRS 0-2) we adjusted for possible confounders the association of the investigated biomarkers with poor outcome in a logistic regression

Plus, there's the contamination risk of mixing things up on your own, outside the clean rooms that pharma normally uses