JOURNAL ARTICLE
Additional file 7: of Predicting opioid dependence from electronic health records with machine learning
Ellis, RandallWang, ZichenGenes, NicholasMaâayan, Avi
Year: 2019 Journal: OPAL (Open@LaTrobe) (La Trobe University) Publisher: La Trobe University
Abstract
Figure S7. Receiver operating characteristic curves, normalized, and non-normalized confusion matrices for labs and vitals from the 20â days prior to substance dependence diagnosis, classified using no imputation (A, B), imputation by the mean (C, D), and imputation by the median (E, F). (PDF 1335 kb)
Keywords:
Imputation (statistics) Confusion Health records Receiver operating characteristic Electronic health record Confusion matrix
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Topics
Opioid Use Disorder Treatment
Health Sciences → Medicine → Public Health, Environmental and Occupational Health
Pharmacovigilance and Adverse Drug Reactions
Life Sciences → Pharmacology, Toxicology and Pharmaceutics → Toxicology
Machine Learning in Healthcare
Physical Sciences → Computer Science → Artificial Intelligence
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Additional file 5: of Predicting opioid dependence from electronic health records with machine learning
Ellis, RandallWang, ZichenGenes, NicholasMaâayan, Avi
Journal: OPAL (Open@LaTrobe) (La Trobe University) Year: 2019