Jingzhi Yu

According to our database, Jingzhi Yu authored at least 12 papers between 2012 and 2024.

Collaborative distances:

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

2024

Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study.

Peter Graffy, Lindsay P. Zimmerman, Yuan Luo, Jingzhi Yu, Yuni Choi, Rachel Zmora, Donald Lloyd-Jones, Norrina B. Allen

J. Am. Medical Informatics Assoc., January, 2024

2022

Natural language processing to identify lupus nephritis phenotype in electronic health records.

Yu Deng, Jennifer A. Pacheco, Anika S. Ghosh, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo

BMC Medical Informatics Decis. Mak., December, 2022

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.

Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen

BMC Medical Informatics Decis. Mak., 2022

Using deep learning to incorporate longitudinal health factors into 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction in the Lifetime Risk Pooled Project (LRPP).

Jingzhi Yu, Xiaoyun Yang, Amy E. Krefman, Hongyan Ning, Lucia C. Petito, Lihui Zhao, Norrina B. Allen

Proceedings of the AMIA 2022, 2022

2021

Natural language processing to identify lupus nephritis phenotype in electronic health records.

Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo

CoRR, 2021

Predicting Avoidable Emergency Department Visits Using the NHAMCS Dataset.

Songzi Liu, Jingzhi Yu, Yuyang Yang

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Electronic Health Records Reveal Statins Prescription Trends among Small to Medium Sized Practices.

Jingzhi Yu, Ann A. Wang, Huyen Vu, Nicholas Soulakis, Yacob Tedla, Abel N. Kho

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

2019

Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program.

Abel N. Kho, Jingzhi Yu, Molly Scannell Bryan, Charon Gladfelter, Howard S. Gordon, Shaun J. Grannis, Margaret B. Madden, Eneida A. Mendonça, Vesna Mitrovic, Raj C. Shah, Umberto Tachinardi, Bradley W. Taylor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images.

Sian Liu, Jingzhi Yu, Jing Zhuang, Keming Yu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation.

Ethan M. I. Johnson, Jingzhi Yu, Yu Deng, David S. Melnick, Sukhveer S. Sandhu, Farhad Ghamsari, Mozziyar Etemadi, Abel N. Kho

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Visualizer for Evaluating Adherence to Evidence-Based Guidelines.

Jingzhi Yu, Farhad Ghamsari, Samuel Ross, Vesna Mitrovic, Abel N. Kho

Proceedings of the AMIA 2019, 2019

2012

Towards a large-scale cognitive radio network: Testbed, intensive computing, frequency agility and security.

Zhe Chen, Changchun Zhang, Feng Lin, Jingzhi Yu, Xia Li, Yu Song, Raghuram Ranganathan, Nan Guo, Robert C. Qiu

Proceedings of the International Conference on Computing, Networking and Communications, 2012