| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature methods 9 (8), 796-804, 2012 | 1834 | 2012 |
| A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries M Jiang, Y Chen, M Liu, ST Rosenbloom, S Mani, JC Denny, H Xu Journal of the American Medical Informatics Association 18 (5), 601-606, 2011 | 328 | 2011 |
| Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012 | 307 | 2012 |
| Medical decision support using machine learning for early detection of late-onset neonatal sepsis S Mani, A Ozdas, C Aliferis, HA Varol, Q Chen, R Carnevale, Y Chen, ... Journal of the American Medical Informatics Association 21 (2), 326-336, 2014 | 207 | 2014 |
| A study of active learning methods for named entity recognition in clinical text Y Chen, TA Lasko, Q Mei, JC Denny, H Xu Journal of biomedical informatics 58, 11-18, 2015 | 189 | 2015 |
| Type 2 diabetes risk forecasting from EMR data using machine learning S Mani, Y Chen, T Elasy, W Clayton, J Denny AMIA annual symposium proceedings 2012, 606, 2012 | 171 | 2012 |
| A hybrid system for temporal information extraction from clinical text B Tang, Y Wu, M Jiang, Y Chen, JC Denny, H Xu Journal of the American Medical Informatics Association 20 (5), 828-835, 2013 | 150 | 2013 |
| Applying active learning to high-throughput phenotyping algorithms for electronic health records data Y Chen, RJ Carroll, ERMP Hinz, A Shah, AE Eyler, JC Denny, H Xu Journal of the American Medical Informatics Association 20 (e2), e253-e259, 2013 | 132 | 2013 |
| Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases H Xu, Z Fu, A Shah, Y Chen, NB Peterson, Q Chen, S Mani, MA Levy, ... AMIA Annual Symposium Proceedings 2011, 1564, 2011 | 115 | 2011 |
| Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy S Mani, Y Chen, X Li, L Arlinghaus, AB Chakravarthy, V Abramson, ... Journal of the American Medical Informatics Association 20 (4), 688-695, 2013 | 70 | 2013 |
| Applying active learning to assertion classification of concepts in clinical text Y Chen, S Mani, H Xu Journal of biomedical informatics 45 (2), 265-272, 2012 | 64 | 2012 |
| UTH_CCB: a report for semeval 2014task 7 analysis of clinical text Y Zhang, J Wang, B Tang, Y Wu, M Jiang, Y Chen, H Xu Proceedings of the 8th International Workshop on Semantic Evaluation
, 2014 | 60 | 2014 |
| Classification of cancer primary sites using machine learning and somatic mutations Y Chen, J Sun, LC Huang, H Xu, Z Zhao BioMed research international 2015 (1), 491502, 2015 | 48 | 2015 |
| Cost-aware active learning for named entity recognition in clinical text Q Wei, Y Chen, M Salimi, JC Denny, Q Mei, TA Lasko, Q Chen, S Wu, ... Journal of the American Medical Informatics Association 26 (11), 1314-1322, 2019 | 39 | 2019 |
| Applying active learning to supervised word sense disambiguation in MEDLINE Y Chen, H Cao, Q Mei, K Zheng, H Xu Journal of the American Medical Informatics Association 20 (5), 1001-1006, 2013 | 37 | 2013 |
| An active learning-enabled annotation system for clinical named entity recognition Y Chen, TA Lask, Q Mei, Q Chen, S Moon, J Wang, K Nguyen, T Dawodu, ... BMC medical informatics and decision making 17, 35-44, 2017 | 34 | 2017 |
| Automated assessment of medical students clinical exposures according to AAMC geriatric competencies Y Chen, J Wrenn, H Xu, A Spickard III, R Habermann, J Powers, ... AMIA Annual Symposium Proceedings 2014, 375, 2014 | 29 | 2014 |
| Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning S Mani, Y Chen, LR Arlinghaus, X Li, AB Chakravarthy, SR Bhave, ... AMIA annual symposium proceedings 2011, 868, 2011 | 29 | 2011 |
| Active learning for unbalanced data in the challenge with multiple models and biasing Y Chen, S Mani Active Learning and Experimental Design workshop In conjunction with AISTATS
, 2011 | 25 | 2011 |
| Hybrid approaches to concept extraction and assertion classification-vanderbilt's systems for 2010 I2B2 NLP Challenge M Jiang, Y Chen, M Liu, T Rosenbloom, S Mani, JC Denny, H Xu Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language
, 2010 | 15 | 2010 |
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityPatvirtintas el. paštas yale.edu
