John Mayer

According to our database, John Mayer authored at least 9 papers between 2009 and 2023.

Collaborative distances:

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

2023

Multisite evaluation of prediction models for emergency department crowding before and during the COVID-19 pandemic.

Ari J. Smith, Brian W. Patterson, Michael S. Pulia, John Mayer, Rebecca J. Schwei, Radha Nagarajan, Frank Liao, Manish N. Shah, Justin J. Boutilier

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

2021

E-Pedigrees: a large-scale automatic family pedigree prediction application.

Xiayuan Huang, Nicholas P. Tatonetti, Katie Larow, Brooke Delgoffee, John Mayer, David Page, Scott J. Hebbring

Bioinform., 2021

Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases.

Daehee Kim, Stephanie Gamboa, Vanessa Hernandez, Marlen Martinez-Lopez, Scott J. Hebbring, John Mayer, Jamie Fox

Proceedings of the ICC 2021, 2021

2019

Machine learning for phenotyping opioid overdose events.

Jonathan C. Badger, Eric LaRose, John Mayer, Fereshteh S. Bashiri, David Page, Peggy L. Peissig

J. Biomed. Informatics, 2019

2018

Applying family analyses to electronic health records to facilitate genetic research.

Xiayuan Huang, Robert C. Elston, Guilherme J. M. Rosa, John Mayer, Zhan Ye, Terrie E. Kitchner, Murray H. Brilliant, David Page, Scott J. Hebbring

Bioinform., 2018

Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research.

Xiayuan Huang, Robert C. Elston, John Mayer, Zhan Ye, Yuqi He, David Page, Scott J. Hebbring

Proceedings of the AMIA 2018, 2018

2017

bigNN: An open-source big data toolkit focused on biomedical sentence classification.

Ahmad Pahlavan Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan C. Badger, John Mayer, AnHai Doan, David Page, Peggy L. Peissig

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

Application of clinical text data for phenome-wide association studies (PheWASs).

Scott J. Hebbring, Majid Rastegar-Mojarad, Zhan Ye, John Mayer, Crystal Jacobson, Simon M. Lin

Bioinform., 2015

2009

Book Review: Transforming Legal Education: Learning and Teaching the Law in the Early Twenty-first Century.

Paul Maharg, John Mayer, Julian Webb, Abdul Paliwala

J. Inf. Law Technol., 2009