Ning Shang

According to our database, Ning Shang authored at least 22 papers between 2014 and 2023.

Collaborative distances:

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

2023

Characterizing variability of electronic health record-driven phenotype definitions.

Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen

J. Am. Medical Informatics Assoc., February, 2023

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

2021

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies.

Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam S. Gordon, Iftikhar J. Kullo, Shawn N. Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza

npj Digit. Medicine, 2021

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.

Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk

npj Digit. Medicine, 2021

Similarity-based health risk prediction using Domain Fusion and electronic health records data.

Jia Guo, Chi Yuan, Ning Shang, Tian Zheng, Natalie A. Bello, Krzysztof Kiryluk, Chunhua Weng, Shuang Wang

J. Biomed. Informatics, 2021

Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification.

Cong Liu, Hao Liu, Casey N. Ta, James Roger, Alex Butler, Junghwan Lee, Jaehyun Kim, Ning Shang, Chunhua Weng

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping.

Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Ning Shang, George Hripcsak, Chunhua Weng

J. Biomed. Informatics, 2020

A graph-based method for reconstructing entities from coordination ellipsis in medical text.

Chi Yuan, Yongli Wang, Ning Shang, Ziran Li, Ruxin Zhao, Chunhua Weng

J. Am. Medical Informatics Assoc., 2020

2019

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

Ning Shang, Cong Liu, Luke V. Rasmussen, Casey N. Ta, Robert J. Carroll, Barbara Benoit, Todd Lingren, Ozan Dikilitas, Frank D. Mentch, David S. Carrell, Wei-Qi Wei, Yuan Luo, Vivian S. Gainer, Iftikhar J. Kullo, Jennifer A. Pacheco, Hakon Hakonarson, Theresa L. Walunas, Joshua C. Denny, Chunhua Weng

J. Biomed. Informatics, 2019

Ensembles of natural language processing systems for portable phenotyping solutions.

Cong Liu, Casey N. Ta, James R. Rogers, Ziran Li, Junghwan Lee, Alex M. Butler, Ning Shang, Fabricio Sampaio Peres Kury, Liwei Wang, Feichen Shen, Hongfang Liu, Lyudmila Ena, Carol Friedman, Chunhua Weng

J. Biomed. Informatics, 2019

Facilitating phenotype transfer using a common data model.

George Hripcsak, Ning Shang, Peggy L. Peissig, Luke V. Rasmussen, Cong Liu, Barbara Benoit, Robert J. Carroll, David S. Carrell, Joshua C. Denny, Ozan Dikilitas, Vivian S. Gainer, Kayla Marie Howell, Jeffrey G. Klann, Iftikhar J. Kullo, Todd Lingren, Frank D. Mentch, Shawn N. Murphy, Karthik Natarajan, Chunhua Weng

J. Biomed. Informatics, 2019

Criteria2Query: a natural language interface to clinical databases for cohort definition.

Chi Yuan, Patrick B. Ryan, Casey N. Ta, Yixuan Guo, Ziran Li, Jill Hardin, Rupa Makadia, Peng Jin, Ning Shang, Tian Kang, Chunhua Weng

J. Am. Medical Informatics Assoc., 2019

2018

A conceptual framework for evaluating data suitability for observational studies.

Ning Shang, Chunhua Weng, George Hripcsak

J. Am. Medical Informatics Assoc., 2018

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.

Anando Sen, Andrew Goldstein, Shreya Chakrabarti, Ning Shang, Tian Kang, Anil Yaman, Patrick B. Ryan, Chunhua Weng

J. Am. Medical Informatics Assoc., 2018

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.

Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer, Thomas R. Campion Jr., Peter Speltz, Robert J. Carroll, Sarah C. Stallings, Huan Mo, Monika Ahuja, Guoqian Jiang, Eric R. LaRose, Peggy L. Peissig, Ning Shang, Barbara Benoit, Vivian S. Gainer, Kenneth Borthwick, Kathryn L. Jackson, Ambrish Sharma, Andy Yizhou Wu, Abel N. Kho, Dan M. Roden, Jyotishman Pathak, Joshua C. Denny, William K. Thompson

J. Am. Medical Informatics Assoc., 2018

Effect of vocabulary mapping for conditions on phenotype cohorts.

George Hripcsak, Matthew E. Levine, Ning Shang, Patrick B. Ryan

J. Am. Medical Informatics Assoc., 2018

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives.

Fernanda C. Polubriaginof, Ning Shang, George Hripcsak, Nicholas P. Tatonetti, David K. Vawdrey

Proceedings of the AMIA 2018, 2018

2016

The Applicability of an EHR Phenotype for Cohort Identification.

Ning Shang, George Hripcsak, Patrick B. Ryan, Chunhua Weng

Proceedings of the Summit on Clinical Research Informatics, 2016

A Method for Enhancing the Portability of Electronic Phenotyping Algorithms: An eMERGE Pilot Study.

Ning Shang, Chunhua Weng, George Hripcsak

Proceedings of the AMIA 2016, 2016

Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

Justin Mower, Devika Subramanian, Ning Shang, Trevor Cohen

Proceedings of the AMIA 2016, 2016

2015

A Framework for Assessing Clinical Data Suitability for Observational Study.

Ning Shang, Chunhua Weng, George Hripcsak

Proceedings of the AMIA 2015, 2015

2014

Identifying Plausible Adverse Drug Reactions Using Knowledge Extracted from the Literature.

Ning Shang, Hua Xu, Thomas C. Rindflesch, Trevor Cohen

Proceedings of the AMIA 2014, 2014