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Journal Articles
- 2019
[j1]Himanshu Sharma
, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a portable natural language processing based phenotyping system. BMC Medical Informatics Decis. Mak. 19-S(3): 79-87 (2019)
Conference and Workshop Papers
- 2022
- [c6]Yizhen Zhong, Jiajie Xiao, Thomas Vetterli, Mahan Matin, Ellen Loo, Jimmy Lin, Richard Bourgon, Ofer Shapira:
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning. EMNLP (Industry Track) 2022: 379-389 - 2021
- [c5]Anmol Singh, Yizhen Zhong, Layan Nahlawi, Sehwan Park, Tanima De, Cristina Alarcon, Minoli Perera:
Incorporation of DNA methylation into eQTL mapping in African Americans. PSB 2021 - 2019
- [c4]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA 2019 - 2018
- [c3]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, Yuan Luo:
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. BIBM 2018: 1143-1146 - [c2]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. ICHI Workshops 2018: 86-87 - 2016
- [c1]Yizhen Zhong, Luke V. Rasmussen, Justin Starren, Yuan Luo:
Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms. AMIA 2016
Informal and Other Publications
- 2022
- [i4]Yizhen Zhong, Jiajie Xiao, Thomas Vetterli, Mahan Matin, Ellen Loo, Jimmy Lin, Richard Bourgon, Ofer Shapira:
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning. CoRR abs/2212.05150 (2022) - 2019
- [i3]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR abs/1905.01961 (2019) - 2018
- [i2]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a Portable Natural Language Processing Based Phenotyping System. CoRR abs/1807.06638 (2018) - [i1]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, Yuan Luo:
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. CoRR abs/1811.06183 (2018)
Coauthor Index
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