John D. Osborne

According to our database, John D. Osborne authored at least 21 papers between 2011 and 2024.

Collaborative distances:

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

2024

Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection.

Abdullateef I. Almudaifer, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren Walter, Ellen F. Eaton, Sue S. Feldman, John D. Osborne

J. Biomed. Semant., December, 2024

Mapping Bias in Vision Language Models: Signposts, Pitfalls, and the Road Ahead.

Kuleen Sasse, Shan Chen, Jackson Pond, Danielle S. Bitterman, John D. Osborne

CoRR, 2024

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng

CoRR, 2024

Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions.

Kuleen Sasse, Shinjitha Vadlakonda, Richard E. Kennedy, John D. Osborne

CoRR, 2024

Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection.

Abdullateef I. Almudaifer, Tobias O'Leary, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren Walter, Ellen F. Eaton, Sue S. Feldman, John D. Osborne

CoRR, 2024

2023

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C).

Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu

J. Am. Medical Informatics Assoc., November, 2023

Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.

Abdullateef I. Almudaifer, Sue S. Feldman, Tobias O'Leary, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Estera Crisan, Kevin Riggs, Lauren Walter, John D. Osborne

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren.

Aleksandra Foksinska, Camerron M. Crowder, Andrew B. Crouse, Jeff Henrikson, William E. Byrd, Gregory Rosenblatt, Michael J. Patton, Kaiwen He, Thi K. Tran-Nguyen, Marissa Zheng, Stephen A. Ramsey, Nada Amin, John D. Osborne, Matthew Might

Frontiers Artif. Intell., 2022

BRATsynthetic: Text De-identification using a Markov Chain Replacement Strategy for Surrogate Personal Identifying Information.

John D. Osborne, Tobias O'Leary, Akhil Nadimpalli, Salma M. Aly, Richard E. Kennedy

CoRR, 2022

2021

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C).

Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu

CoRR, 2021

Towards Identification of Opiate Use Disorder in Clinical Text.

John D. Osborne, Tobias O'Leary, Abdullateef I. Almudaifer, Whitney L. Covington, Caleb M. Carroll, Ellen F. Eaton, Rachel A. Lee, Sue S. Feldman, Lauren Walter

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Identification of Cancer Entities in Clinical Text Combining Transformers with Dictionary Features.

John D. Osborne, Tobias O'Leary, James Del Monte, Kuleen Sasse

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

Empowering Team Science Across the Translational Spectrum with the UAB Biomedical Research Infrastructure Technology Enhancement (U-BRITE).

James J. Cimino, Wayne H. Liang, Jelai Wang, Dongmei Sun, John David Osborne, Amy Y. Wang, S. Louis Bridges, Matthew C. Wyatt, Jake Y. Chen

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.

Amy Y. Wang, John D. Osborne, Maria I. Danila, Andrew Naidech, David M. Liebovitz

Proceedings of the AMIA 2020, 2020

Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

John D. Osborne, James S. Booth, Tobias O'Leary, Amy Mudano, Giovanna Rosas, Phillip Foster, Kenneth Saag, Maria I. Danila

Proceedings of the AMIA 2020, 2020

2018

CUILESS2016: a clinical corpus applying compositional normalization of text mentions.

John David Osborne, Matthew B. Neu, Maria I. Danila, Thamar Solorio, Steven J. Bethard

J. Biomed. Semant., 2018

Phenotype Detection Registry System (PheDRS) - Implementation of a Generalizable Single Institution Clinical Registry Architecture.

John David Osborne, Adarsh Khare, Donald D. Dempsey, James M. Wells, Matthew C. Wyatt, Geoffrey D. Gordon, Wayne H. Liang, James J. Cimino

Proceedings of the AMIA 2018, 2018

2016

Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning.

John David Osborne, Matthew C. Wyatt, Andrew O. Westfall, James H. Willig, Steven Bethard, Geoffrey D. Gordon

J. Am. Medical Informatics Assoc., 2016

2015

CUAB: Supervised Learning of Disorders and their Attributes using Relations.

James Gung, John David Osborne, Steven Bethard

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2013

Evaluation of YTEX and MetaMap for Clinical Concept Recognition.

John David Osborne, Binod Gyawali, Thamar Solorio

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2011

Machine classification of melanoma and nevi from skin lesions.

John David Osborne, Song Gao, Wei-bang Chen, Aleodor Andea, Chengcui Zhang

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011