Travis Osterman

According to our database, Travis Osterman authored at least 8 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics.

Megan M. Shuey, William W. Stead, Ida Aka, April L. Barnado, Lisa Bastarache, Elly Brokamp, Meredith Campbell, Robert J. Carroll, Jeffrey A. Goldstein, Adam Lewis, Beth A. Malow, Jonathan D. Mosley, Travis Osterman, Dolly A Padovani-Claudio, Andrea Ramirez, Dan M. Roden, Bryce A Schuler, Edward Siew, Jennifer Sucre, Isaac Thomsen, Rory J. Tinker, Sara Van Driest, Colin Walsh, Jeremy L. Warner, Quinn Stanton Wells, Lee E. Wheless

Bioinform., October, 2023

2022

mCODE® (Minimal Common Oncology Data Elements): a 3-year Update.

Travis Osterman, Teja Ganta, Sutin Chen, Samuel L. Volchenboum

Proceedings of the AMIA 2022, 2022

A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education.

Dara Eckerle Mize, Travis Osterman

Proceedings of the AMIA 2022, 2022

Improving Biomedical Informatics Graduate Student Recruitment through a Structured Undergraduate Summer Internship Team-Based Experience.

Shun Ahmed, Yanwei Li, Jiayi Wu, Xiaohan Liu, Yuxin Huang, Travis Osterman

Proceedings of the AMIA 2022, 2022

2021

A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19.

Neil S. Zheng, Jeremy L. Warner, Travis J. Osterman, Quinn Stanton Wells, Xiao-Ou Shu, Stephen A. Deppen, Seth J. Karp, Shon Dwyer, QiPing Feng, Nancy J. Cox, Josh F. Peterson, C. Michael Stein, Dan M. Roden, Kevin B. Johnson, Wei-Qi Wei

J. Biomed. Informatics, 2021

2020

The Personalization of Evidence: Using Intelligent Datasets to Inform the Process.

Taneya Y. Koonce, Dario A. Giuse, Mallory N. Blasingame, Jing Su, Annette M. Williams, Patricia L. Biggerstaff, Travis J. Osterman, Nunzia B. Giuse

Proceedings of the AMIA 2020, 2020

2019

Lung cancer detection using co-learning from chest CT images and clinical demographics.

Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2015

Quantifying Tobacco Exposure Using Clinical Notes and Natural Language Processing to Enable Lung Cancer Screening.

Travis Osterman, Wei-Qi Wei, Joshua C. Denny

Proceedings of the AMIA 2015, 2015