Development of a Cirrhosis-Associated Symptom/Finding Detection Tool. - Jejo Koola; Robert M. Cronin; Ruth M. Reeves; Jason N. Denton; Samuel B. Ho; Michael E. Matheny (AMIA, 2014)

A Novel Visualization for Rapid Summarization of Patient History: Application to Cirrhosis. - Jejo Koola; Samuel B. Ho; Michael E. Matheny (AMIA, 2015)

Workflow-guided development of a clinical decision support tool for patients with advanced liver disease. - Samuel B. Ho; Julie Ducom; Anne Miller; Jennifer H. Garvin; Jejo D. Koola; Russ Beebe; Jason M. Slagle; Dax M. Westerman; Carrie Reale; Matthew B. Weinger; Erik Groessl; Michael E. Matheny (AMIA, 2016)

An Electronic Health Record Phenotyping Algorithm for Identifying Patients with Hepatorenal Syndrome. - Jejo Koola; Samuel B. Ho; Michael E. Matheny (AMIA, 2016)

Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome. - Jejo D. Koola; Sharon E. Davis; Samuel B. Ho; Michael E. Matheny (CRI, 2016)

Machine Learning Models to Predict Readmission for Patients with Cirrhosis. - Jejo D. Koola; Aize Cao; Guanhua Chen 002; Amy Perkins; Samuel B. Ho; Sharon E. Davis; Michael E. Matheny (AMIA, 2017)

Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments. - Anne Miller; Jejo D. Koola; Michael E. Matheny; Julie Ducom; Jason M. Slagle; Erik Groessl; Freneka F. Minter; Jennifer H. Garvin; Matthew B. Weinger; Samuel B. Ho (Int. J. Medical Informatics, 2018)

Development of an automated phenotyping algorithm for hepatorenal syndrome. - Jejo D. Koola; Sharon E. Davis; Omar Al-Nimri; Sharidan K. Parr; Daniel Fabbri; Bradley A. Malin; Samuel B. Ho; Michael E. Matheny (J. Biomed. Informatics, 2018)