Julian C. Hong

According to our database, Julian C. Hong authored at least 5 papers between 2018 and 2022.

Collaborative distances:

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

2022

Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study.

Julian C. Hong, Neville C. W. Eclov, Sarah J. Stephens, Yvonne M. Mowery, Manisha Palta

BMC Bioinform., 2022

2021

Longitudinal Data of Cancer Patients with Prior Mental Health Diagnoses Show Differences in Demographics, Emergency Visits, and Suicidality Rates.

Saira Somnay, William Chen, Lauren Boreta, Steve Braunstein, Julian C. Hong

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

Machine Learning Implementation Results in Reduced Variable Cost of Acute Care Visits During Radiotherapy: SHIELD-RT Cost Analysis.

Divya Natesan, Samantha Thomas, Eric Eisenstein, Neville C. W. Eclov, Nicole Dalal, Sarah J. Stephens, Mary Malicki, Stacey Shields, Alyssa Cobb, Yvonne M. Mowery, Donna Niedzwiecki, Jessica D. Tenenbaum, Manisha Palta, Julian C. Hong

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

2018

Natural language processing to identify patient symptoms during and prior to cancer therapy.

Julian C. Hong, Donna Niedzwiecki, Manisha Palta, Jessica D. Tenenbaum

Proceedings of the AMIA 2018, 2018

Network analysis of chronological relationships of comorbidities in veterans from a prospective screening colonoscopy trial.

Julian C. Hong, Elizabeth Hauser, Thomas S. Redding, Kellie Sims, Ziad Gellad, Meghan O'Leary, Terry Hyslop, Ashton Madison, Xuejun Qin, David Weiss, A. J. Bullard, Reana Thomas, Christina Williams, Brian Sullivan, Marcus Johnson, Marsha Turner, David Lieberman, Dawn Provenzale

Proceedings of the AMIA 2018, 2018