Cheng Ye

According to our database, Cheng Ye authored at least 11 papers between 2014 and 2022.

Collaborative distances:

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

2022

Accelerated Data Curation of Colitis Cases.

Protiva Rahman, Cheng Ye, Kate Mittendorf, Michele L. LeNoue-Newton, Christine Micheel, Daniel Fabbri

Proceedings of the AMIA 2022, 2022

2021

Leveraging medical context to recommend semantically similar terms for chart reviews.

Cheng Ye, Bradley A. Malin, Daniel Fabbri

BMC Medical Informatics Decis. Mak., 2021

Extracting Medical Information from Paper COVID-19 Assessment Forms.

Jacob D. Schultz, Colin G. White-Dzuro, Cheng Ye, Joseph R. Coco, Janet M. Myers, Claude Shackelford, S. Trent Rosenbloom, Daniel Fabbri

Appl. Clin. Inform., 2021

2019

Information Retrieval in Clinical Chart Reviews.

Cheng Ye

PhD thesis, 2019

Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance.

Ken Monahan, Cheng Ye, Edward Gould, Meng Xu, Shi Huang, Anderson Spickard, S. Trent Rosenbloom, Joseph R. Coco, Daniel Fabbri, Bonnie Miller

Appl. Clin. Inform., 2019

2018

Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews.

Cheng Ye, Daniel Fabbri

J. Biomed. Informatics, 2018

Crowdsourcing Clinical Chart Reviews.

Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri

Proceedings of the AMIA 2018, 2018

2015

Behavior Prediction in MOOCs using Higher Granularity Temporal Information.

Cheng Ye, John S. Kinnebrew, Gautam Biswas, Brent J. Evans, Douglas H. Fisher, Gayathri Narasimham, Katherine A. Brady

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences.

Cheng Ye, John S. Kinnebrew, James René Segedy, Gautam Biswas

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information.

Cheng Ye, Gautam Biswas

J. Learn. Anal., November, 2014

Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data.

Cheng Ye, John S. Kinnebrew, Gautam Biswas

Proceedings of the 7th International Conference on Educational Data Mining, 2014