Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

Abstract People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of predictors. This study introduced a novel approac...

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Main Authors: Carol El-Hayek, Thi Nguyen, Margaret E. Hellard, Michael Curtis, Rachel Sacks-Davis, Htein Linn Aung, Jason Asselin, Douglas I. R. Boyle, Anna Wilkinson, Victoria Polkinghorne, Jane S. Hocking, Adam G. Dunn
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01318-y
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https://doi.org/10.1038/s41746-024-01318-y

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