Development of an automated phenotyping algorithm for hepatorenal syndrome

Article ID	Journal	Published Year	Pages	File Type
6927493	Journal of Biomedical Informatics	2018	36 Pages	PDF

Keywords

KDIGO INR CPT NAFLD AKI ATN ROC NLP GBM HIVAN MCHC HRS AUC CuI acute kidney injury Current Procedural Terminology Veterans affairs SAFE chronic kidney disease non-alcoholic fatty liver disease Kidney Disease Improving Global Outcomes Electronic Health Record Least absolute shrinkage and selection operator Gradient Boosting Machine ICD Logistic regression hepatorenal syndrome Cirrhosis International Classification of Diseases Phenotyping Support vector machine SVM model for end stage liver disease area under the curve Mean corpuscular hemoglobin concentration CKD International Normalized Ratio Acute tubular necrosis Natural Language Processing EHR Dimension reduction LASSO MELD receiver operating characteristic

Related Topics

Physical Sciences and Engineering Computer Science Computer Science Applications

Development of an automated phenotyping algorithm for hepatorenal syndrome

Authors

Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny,