| Early prediction of student dropout and performance in MOOCs using higher granularity temporal information C Ye, G Biswas Journal of Learning Analytics 1 (3), 169-172, 2014 | 112 | 2014 |
| Behavior prediction in MOOCs using higher granularity temporal information C Ye, JS Kinnebrew, G Biswas, BJ Evans, DH Fisher, G Narasimham, ... Proceedings of the second (2015) ACM conference on Learning@ Scale, 335-338, 2015 | 39 | 2015 |
| A crowdsourcing framework for medical data sets C Ye, J Coco, A Epishova, C Hajaj, H Bogardus, L Novak, J Denny, ... AMIA Summits on Translational Science Proceedings 2018, 273, 2018 | 28 | 2018 |
| Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews C Ye, D Fabbri Journal of biomedical informatics 83, 63-72, 2018 | 25 | 2018 |
| Copy-and-paste in medical student notes: extent, temporal trends, and relationship to scholastic performance BM Ken Monahan , Cheng Ye , Edward Gould , Meng Xu , Shi Huang , Anderson ... Applied Clinical Informatics 10 (03), 479-486, 2019 | 8 | 2019 |
| Extracting medical information from paper COVID-19 assessment forms CG White-Dzuro, JD Schultz, C Ye, JR Coco, JM Myers, C Shackelford, ... Applied Clinical Informatics 12 (01), 170-178, 2021 | 6 | 2021 |
| Crowdsourcing to delineate skin affected by chronic graft‐vs‐host disease ER Tkaczyk, JR Coco, J Wang, F Chen, C Ye, MH Jagasia, BM Dawant, ... Skin Research and Technology 25 (4), 572-577, 2019 | 6 | 2019 |
| Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. C Ye, JR Segedy, JS Kinnebrew, G Biswas International Educational Data Mining Society, 2015 | 5 | 2015 |
| Leveraging medical context to recommend semantically similar terms for chart reviews C Ye, BA Malin, D Fabbri BMC Medical Informatics and Decision Making 21, 353, 2021 | 2 | 2021 |
| Clinical and genomic predictors of brain metastases (BM) in non-small cell lung cancer (NSCLC): An AACR Project GENIE analysis. P Rahman, M LeNoue-Newton, S Chaugai, M Holt, NM Jain, C Maxwell, ... Journal of Clinical Oncology 39 (15_suppl), 2032-2032, 2021 | 2 | 2021 |
| Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data L Lippenszky, KF Mittendorf, Z Kiss, ML LeNoue-Newton, P Napan-Molina, ... JCO Clinical Cancer Informatics 8, e2300207, 2024 | 1 | 2024 |
| Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records P Rahman, C Ye, KF Mittendorf, M Lenoue-Newton, C Micheel, J Wolber, ... JAMIA open 6 (1), ooad017, 2023 | 1 | 2023 |
| Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data C Ye, J Kinnebrew, G Biswas Educational Data Mining 2014, 2014 | 1 | 2014 |
| Next Generation of Electronic Medical Record Search Engines to Support Chart Reviews: A Systematic User Study and Future Research Direction C Ye, D Fabbri Journal of Economy and Technology, 2024 | | 2024 |
| Systems and methods for pharyngeal phenotyping in obstructive sleep apnea D Fabbri, DT Kent, C Ye WO Patent WO2023/192607 A2, 2023 | | 2023 |
| Objective Pharyngeal Phenotyping in Obstructive Sleep Apnea With High‐Resolution Manometry DT Kent, WC Scott, C Ye, D Fabbri Otolaryngology–Head and Neck Surgery 169 (1), 164-175, 2023 | | 2023 |
| Automatic Sensing for Clinical Decision Support D Fabbri, J Coco, C Ye, D Scully, C McNaughton, J Ehrenfeld, C Simpson, ... US Patent App. 17/203,204, 2021 | | 2021 |
| Information Retrieval in Clinical Chart Reviews C Ye Vanderbilt University, 2019 | | 2019 |
| A Scheduling Algorithm for MAC Protocol in Wireless Sensor Networks C Ye, YM Kang 2008 Fifth IEEE International Symposium on Embedded Computing, 315-319, 2008 | | 2008 |
Daniel FabbriVanderbilt UniversityVerified email at vanderbilt.edu
