Jejo D. Koola

12 papers Misc 7Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A machine learning framework to adjust for learning effects in medical device safety evaluation.
J. Am. Medical Informatics Assoc.
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, Art Sedrakyan, Frederic S. Resnic, Michael E. Matheny
2023 J jnl
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions.
J. Am. Medical Informatics Assoc.
Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker
2022 Misc conf
A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning.
AMIA
Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny
2022 Misc conf
Identifying Diagnostic Opportunities Using Clinical Trajectories.
AMIA
Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh
2020 Misc conf
Diagnosing Chemotherapy-Related Cognitive Impairment Using Digital Phenotyping.
AMIA
Marehan Waly, Teresa Helsten, Nhan Vuong, Amanda Gooding, William Frederick, Alex D. Leow, Jejo D. Koola
2020 Misc conf
Electronic Health Record Phenotyping of Patients with Drug-Induced Renal Injury.
AMIA
Zaid K. Yousif, Linda Awdishu, Mike Hogarth, Jejo D. Koola
2019 Misc conf
Identifying Early Hepatic Encephalopathy Through Digital Phenotyping.
AMIA
Jejo D. Koola, Veeral Ajmera, Job Godino, Lauren L'Heureux, Amanda Gooding, Marc Norman, Faraz Hussain, Alex D. Leow
2018 J jnl
Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments.
Int. J. Medical Informatics
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
2018 J jnl
Development of an automated phenotyping algorithm for hepatorenal syndrome.
J. Biomed. Informatics
Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny
2017 Misc conf
Machine Learning Models to Predict Readmission for Patients with Cirrhosis.
AMIA
Jejo D. Koola, Aize Cao, Guanhua Chen, Amy Perkins, Samuel B. Ho, Sharon E. Davis, Michael E. Matheny
2016 — conf
Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome.
CRI
Jejo D. Koola, Sharon E. Davis, Samuel B. Ho, Michael E. Matheny
2016 Misc conf
Workflow-guided development of a clinical decision support tool for patients with advanced liver disease.
AMIA
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