Towards a large-scale cognitive radio network: Testbed, intensive computing, frequency agility and security. - Zhe Chen; Changchun Zhang; Feng Lin 004; Jingzhi Yu; Xia Li; Yu Song; Raghuram Ranganathan; Nan Guo; Robert C. Qiu (ICNC, 2012)

Visualizer for Evaluating Adherence to Evidence-Based Guidelines. - Jingzhi Yu; Farhad Ghamsari; Samuel Ross; Vesna Mitrovic; Abel N. Kho (AMIA, 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 (ICHI, 2019)

A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images. - Sian Liu; Jingzhi Yu; Jing Zhuang; Keming Yu (ICHI, 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 (PKDD/ECML Workshops (2), 2019)

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 (AMIA, 2021)

Predicting Avoidable Emergency Department Visits Using the NHAMCS Dataset. - Songzi Liu; Jingzhi Yu; Yuyang Yang (ICHI, 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 003; Wei-Qi Wei; April Barnado; Chunhua Weng; Cong Liu 020; Adam Cordon; Jingzhi Yu; et al. (CoRR, 2021)

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 (AMIA, 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 001; Chunhua Weng; Ning Shang; Barbara Benoit; David S. Carrell; Robert J. Carroll; Ozan Dikilitas; Robert R. Freimuth; Vivian S. Gainer; et al. (BMC Medical Informatics Decis. Mak., 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 003; Wei-Qi Wei; April Barnado; Chad Dorn; Chunhua Weng; Cong Liu 020; et al. (BMC Medical Informatics Decis. Mak., 2022)

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 001; Jingzhi Yu; Yuni Choi; Rachel Zmora; Donald Lloyd-Jones; Norrina B. Allen (J. Am. Medical Informatics Assoc., 2024)