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Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

Clinical review of these results identified 2 chemical substances to illustrate the methodology: promazine hydrochloride (high:mid centile ratio: 1.804, kurtosis: 43.61) and pericyazine (high:mid centile ratio: 0.880, kurtosis: 49.60). These 2 antipsychotic drugs are the top 2 ranking chemicals by high:mid centile ratio and also rank in the top 10 (ninth and seventh, respectively) by kurtosis.

Brian MacKenna, Helen J Curtis, Lisa E M Hopcroft, Alex J Walker, Richard Croker, Orla Macdonald, Stephen J W Evans, Peter Inglesby, David Evans, Jessica Morley, Sebastian C J Bacon, Ben Goldacre

JMIR Med Inform 2022;10(12):e41200