Pei Wang

According to our database, Pei Wang authored at least 10 papers between 2013 and 2020.

Collaborative distances:

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

2020

Near Real Time EHR Data Utilization in a Clinical Study.

Melody L. Penning, Colette Blach, Anita Walden, Pei Wang, Katrina M. Donovan, Maryam Y. Garza, Zhan Wang, Julie Frund, Shorabuddin Syed, Mahanazuddin Syed, Guilherme Del Fiol, L. Kristin Newby, Carl F. Pieper, Meredith N. Zozus

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Pei Wang, Daniel L. Pullen, Maryam Y. Garza, Anita Walden, Meredith N. Zozus

Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019

Cancer Phenotype Development: A Literature Review.

Pei Wang, Maryam Y. Garza, Meredith N. Zozus

Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019

2017

Assessing the Quality of Electronic Health Record Data and Patient Self-Report Data.

Meredith N. Zozus, Anita Walden, Marcia Byers, Thomas Powell, Pei Wang, Maryam Y. Garza, Guilherme Del Fiol, Jessica D. Tenenbaum, Matthew Nix, Carl F. Pieper

Proceedings of the 22nd International Conference on Information Quality, 2017

The Challenges of, and Why You Should Reconsider Using, Truth Sets for Optimizing Entity Resolution: A Case Study.

Pei Wang, Daniel L. Pullen, Maryam Y. Garza, Meredith N. Zozus

Proceedings of the 22nd International Conference on Information Quality, 2017

Comparison of Pre-and Post-Resolution Blocking Strategies for Entity Resolution in a Distributed Computing Environment.

Pei Wang, Daniel L. Pullen, John R. Talburt

Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016

A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes.

Pei Wang, Daniel L. Pullen, Fan Liu, William C. Decker, Ningning Wu, John R. Talburt

Int. J. Organ. Collect. Intell., 2016

2014

Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records.

Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu

Proceedings of the 11th International Conference on Information Technology: New Generations, 2014

Iterative Approach to Weight Calculation in Probabilistic Entity Resolution.

Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu

Proceedings of the 19th International Conference on Information Quality, 2014

2013

A false positive review indicator for entity resolution systems using Boolean rules.

Daniel L. Pullen, Pei Wang, John R. Talburt, Ningning Wu

Proceedings of the 18th International Conference on Information Quality, 2013