| Building Gold Standard Corpora for Medical Natural Language Processing Tasks L Deleger, Q Li, T Lingren, K Kaiser, M., Molnar, L Stoutenborough, ... American Medical Informatics Association Annual Symposium Proceedings, 2012 | 147 | 2012 |
| Large-scale evaluation of automated clinical note de-identification and its impact on information extraction L Deleger, K Molnar, G Savova, F Xia, T Lingren, Q Li, K Marsolo, A Jegga, ... Journal of the American Medical Informatics Association 20 (1), 84-94, 2013 | 129 | 2013 |
| Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department Y Ni, S Kennebeck, JW Dexheimer, CM McAneney, H Tang, T Lingren, ... Journal of the American Medical Informatics Association 22 (1), 166-178, 2015 | 113 | 2015 |
| Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in … T Lingren, L Deleger, K Molnar, H Zhai, J Meinzen-Derr, M Kaiser, ... Journal of the American Medical Informatics Association 21 (3), 406-413, 2014 | 108 | 2014 |
| Web 2.0-based crowdsourcing for high-quality gold standard development in clinical Natural Language Processing H Zhai, L Todd, L Deleger, Q Li, M Kaiser, L Stoutenborough, I Solti Journal of Medical Internet Research 15 (4), 2013 | 105 | 2013 |
| Personalized web exploration with task models J Ahn, P Brusilovsky, D He, J Grady, Q Li Proceedings of the 17th international conference on World Wide Web, 1-10, 2008 | 105 | 2008 |
| Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children H Zhai, P Brady, Q Li, T Lingren, Y Ni, DS Wheeler, I Solti Resuscitation 85 (8), 1065-1071, 2014 | 101 | 2014 |
| Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care Q Li, K Melton, T Lingren, ES Kirkendall, E Hall, H Zhai, Y Ni, M Kaiser, ... Journal of the American Medical Informatics Association 21 (5), 776-784, 2014 | 62 | 2014 |
| An end-to-end hybrid algorithm for automated medication discrepancy detection Q Li, SA Spooner, M Kaiser, N Lingren, J Robbins, T Lingren, H Tang, ... BMC medical informatics and decision making 15, 1-12, 2015 | 57 | 2015 |
| Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers Y Ye, F Tsui, M Wagner, J Espino, Q Li Journal of the American Medical Informatics Association 21 (5), 815-823, 2014 | 57 | 2014 |
| Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department L Deleger, H Brodzinski, H Zhai, Q Li, T Lingren, ES Kirkendall, ... Journal of the American Medical Informatics Association 20 (e2), e212-e220, 2013 | 54 | 2013 |
| Mining FDA drug labels for medical conditions Q Li, L Deleger, T Lingren, H Zhai, M Kaiser, L Stoutenborough, AG Jegga, ... BMC medical informatics and decision making 13, 1-11, 2013 | 49 | 2013 |
| Automated detection of medication administration errors in neonatal intensive care Q Li, ES Kirkendall, ES Hall, Y Ni, T Lingren, M Kaiser, N Lingren, H Zhai, ... Journal of biomedical informatics 57, 124-133, 2015 | 39 | 2015 |
| Automating and improving cardiovascular disease prediction using machine learning and EMR data features from a regional healthcare system Q Li, A Campan, A Ren, W Eid International Journal of Medical Informatics 2022 (104786), 2022 | 33 | 2022 |
| Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods X Li, A Ren, Q Li. Sustainability 14 (8), 2022 | 29 | 2022 |
| Probabilistic case detection for disease surveillance using data in electronic medical records F Tsui, M Wagner, G Cooper, J Que, H Harkema, J Dowling, T Sriburadej, ... Online journal of public health informatics 3 (3), 2011 | 28 | 2011 |
| A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction Q Li, H Zhai, L Deleger, T Lingren, M Kaiser, L Stoutenborough, I Solti Journal of the American Medical Informatics Association, 2012 | 26 | 2012 |
| Prediction of COVID-19 patients’ emergency room revisit using multi-source transfer learning Y Ji, Y Gao, R Bao, Q Li, D Liu, Y Sun, Y Ye 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 19 | 2023 |
| Educational social linking in example authoring IH Hsiao, Q Li, YL Lin Proceedings of the nineteenth ACM conference on Hypertext and hypermedia …, 2008 | 18 | 2008 |
| Exploring customers' switching from native to lightweight apps: a push–pull–mooring framework perspective WL Yuan Chen, Xiaodong Li, Qi Li Industrial Management & Data Systems, 2022 | 12 | 2022 |
Todd LingrenSr. Medical Informaticist (AvodahMed)Verified email at avodah.com
