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)

Identifying Early Hepatic Encephalopathy Through Digital Phenotyping. - Jejo D. Koola; Veeral Ajmera; Job Godino; Lauren L'Heureux; Amanda Gooding; Marc Norman; Faraz Hussain 002; Alex D. Leow (AMIA, 2019)

Diagnosing Chemotherapy-Related Cognitive Impairment Using Digital Phenotyping. - Marehan Waly; Teresa Helsten; Nhan Vuong; Amanda Gooding; William Frederick; Alex D. Leow; Jejo D. Koola (AMIA, 2020)

Electronic Health Record Phenotyping of Patients with Drug-Induced Renal Injury. - Zaid K. Yousif; Linda Awdishu; Mike Hogarth; Jejo D. Koola (AMIA, 2020)

A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. - Sharon E. Davis; Henry Ssemaganda; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Usha Govindarajulu; Craig Ramsay; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

Identifying Diagnostic Opportunities Using Clinical Trajectories. - Jejo D. Koola; David Laub; Shamim Nemati; Robert El-Kareh (AMIA, 2022)

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. - Jejo D. Koola; Jialin Mao; Sharon E. Davis; Henry Ssemaganda; Dax M. Westerman; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

Disentangling and Characterizing Device Safety Signals and Learning Effects. - Henry Ssemaganda; Frederic S. Resnic; Sharon E. Davis; Usha Govindarajulu; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Craig Ramsay; Art Sedrakyan; Lucila Ohno-Machado; Michael E. Matheny (AMIA, 2022)

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. - Tsung-Ting Kuo; Anh Pham; Maxim E. Edelson; Jihoon Kim 001; Jason Chan; Yash Gupta; Lucila Ohno-Machado; David M. Anderson; Chandrasekar Balacha; Tyler Bath; Sally L. Baxter; Andrea Becker-Pennrich; et al. (J. Am. Medical Informatics Assoc., 2023)

A machine learning framework to adjust for learning effects in medical device safety evaluation. - Jejo D. Koola; Karthik Ramesh; Jialin Mao; Minyoung Ahn; Sharon E. Davis; Usha Govindarajulu; Amy Perkins; Dax M. Westerman; Henry Ssemaganda; Theodore Speroff; Lucila Ohno-Machado; Craig Ramsay; et al. (J. Am. Medical Informatics Assoc., 2025)