Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms. - Yizhen Zhong; Luke V. Rasmussen; Justin Starren; Yuan Luo 001 (AMIA, 2016)

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. - Yizhen Zhong; Luke V. Rasmussen; Yu Deng; Jennifer A. Pacheco; Maureen E. Smith; Justin Starren; Wei-Qi Wei; Peter Speltz; Joshua C. Denny; Nephi Walton; George Hripcsak; Christopher G. Chute; et al. (BIBM, 2018)

Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. - Himanshu Sharma; Chengsheng Mao; Yizhen Zhang 005; Haleh Vatani; Liang Yao; Yizhen Zhong; Luke V. Rasmussen; Guoqian Jiang; Jyotishman Pathak; Yuan Luo 001 (ICHI Workshops, 2018)

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. - Prakash Adekkanattu; Guoqian Jiang; Yuan Luo 001; Paul R. Kingsbury; Zhenxing Xu; Luke V. Rasmussen; Jennifer A. Pacheco; Richard C. Kiefer; Daniel J. Stone; Pascal S. Brandt; Liang Yao; Yizhen Zhong; et al. (AMIA, 2019)

Developing a portable natural language processing based phenotyping system. - Himanshu Sharma; Chengsheng Mao; Yizhen Zhang 005; Haleh Vatani; Liang Yao; Yizhen Zhong; Luke V. Rasmussen; Guoqian Jiang; Jyotishman Pathak; Yuan Luo 001 (BMC Medical Informatics Decis. Mak., 2019)

Incorporation of DNA methylation into eQTL mapping in African Americans. - Anmol Singh; Yizhen Zhong; Layan Nahlawi; Sehwan Park; Tanima De; Cristina Alarcon; Minoli Perera (PSB, 2021)

Improving Precancerous Case Characterization via Transformer-based Ensemble Learning. - Yizhen Zhong; Jiajie Xiao; Thomas Vetterli; Mahan Matin; Ellen Loo; Jimmy Lin; Richard Bourgon; Ofer Shapira (EMNLP (Industry Track), 2022)