Additional file 10: of Predicting opioid dependence from electronic health records with machine learning

Ellis, Randall; Wang, Zichen; Genes, Nicholas; Maâayan, Avi

doi:10.6084/m9.figshare.7648502

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Additional file 10: of Predicting opioid dependence from electronic health records with machine learning

Ellis, Randall Wang, Zichen Genes, Nicholas Maâayan, Avi

Year: 2019

DOI: 10.6084/m9.figshare.7648502

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Abstract

Figure S10. Precision-recall curves for classifiers using diagnoses, prescriptions, and procedures from the 5â years to substance dependence diagnosis, with no imputation (A), imputation by the mean (B), imputation by the median (C). (PDF 212 kb)

Keywords:

Imputation (statistics) Health records Missing data Random forest Electronic health record

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Topics

Opioid Use Disorder Treatment

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

Machine Learning in Healthcare

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Healthcare and Education

Health Sciences → Medicine → Health Informatics

Additional file 10: of Predicting opioid dependence from electronic health records with machine learning

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