Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality H Xu, MC Aldrich, Q Chen, H Liu, NB Peterson, Q Dai, M Levy, A Shah, ... Journal of the American Medical Informatics Association 22 (1), 179-191, 2015 | 259 | 2015 |
Section classification in clinical notes using supervised hidden markov model Y Li, S Lipsky Gorman, N Elhadad Proceedings of the 1st ACM international health informatics symposium, 744-750, 2010 | 103 | 2010 |
A method to combine signals from spontaneous reporting systems and observational healthcare data to detect adverse drug reactions Y Li, PB Ryan, Y Wei, C Friedman Drug safety 38, 895-908, 2015 | 65 | 2015 |
Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S. V Anand, Y Li, B Liu, M Ghalwash, E Koski, K Ng, JL Dunne, J Jönsson, ... Diabetes Care 44 (6), 2021 | 62 | 2021 |
A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records Y Li, H Salmasian, S Vilar, H Chase, C Friedman, Y Wei Journal of the American Medical Informatics Association 21 (2), 308-314, 2014 | 56 | 2014 |
A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data Z Sun, S Ghosh, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu JAMIA Open, 2019 | 46 | 2019 |
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-task Survival Analysis Approach B Liu, Y Li, Z Sun, S Ghosh, K Ng The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 45 | 2018 |
Health ROI as a measure of misalignment of biomedical needs and resources L Yao, Y Li, S Ghosh, JA Evans, A Rzhetsky Nature biotechnology 33 (8), 807-811, 2015 | 41 | 2015 |
Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions Y Li, AJ Yepes, C Xiao Drug Safety, 2020 | 38 | 2020 |
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing Y Li, H Salmasian, R Harpaz, H Chase, C Friedman AMIA Annual Symposium Proceedings 2011, 768, 2011 | 38 | 2011 |
A machinelearning derived Huntington's disease progression model: insights for clinical trial design A Mohan, Z Sun, S Ghosh, Y Li, S Sathe, J Hu, C Sampaio Movement Disorders 37 (3), 553-562, 2022 | 35 | 2022 |
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach B Liu, Y Li, S Ghosh, Z Sun, K Ng, J Hu IEEE Transactions on Knowledge and Data Engineering, 2019 | 29 | 2019 |
An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence C Xiao, Y Li, I Baytas, J Zhou, F Wang Nature Scientific Reports, 2018 | 29 | 2018 |
Intelligent recognition of named entity in electronic medical records Y Feng, C Ying-Ying, Z Gen-Gui, LH Wen, L Ying Chinese Journal of Biomedical Engineering 30 (2), 256-262, 2011 | 25 | 2011 |
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models S Datta, K Lee, H Paek, FJ Manion, N Ofoegbu, J Du, Y Li, LC Huang, ... Journal of the American Medical Informatics Association 31 (2), 375-385, 2024 | 23 | 2024 |
Ontology-aware prescription recommendation in treatment pathways using multi-evidence healthcare data Z Yao, B Liu, F Wang, D Sow, Y Li ACM Transactions on Information Systems 41 (4), 1-29, 2023 | 13 | 2023 |
An Exploration of Latent Structure in Observational Huntington’s Disease Studies S Ghosh, Z Sun, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu AMIA Joint Summits on Translational Science 2017 (CRI), 2017 | 11 | 2017 |
Data-driven prediction of beneficial drug combinations in spontaneous reporting systems Y Li, P Zhang, Z Sun, J Hu AMIA Annual Symposium Proceedings 2016, 808, 2017 | 11 | 2017 |
Term extraction and negation detection method in chinese clinical document L Hao-Min, Y Li, HL Duan, XD Lv Chinese Journal of Biomedical Engineering 27 (5), 2008 | 10 | 2008 |
A Data-Driven Method for Generating Robust Symptom Onset Indicators in Huntington's Disease Registry Data Z Sun, L Ying, S Ghosh, Y Cheng, A Mohan, C Sampaio, J Hu American Medical Informatics Association Annual Symposium (AMIA), 2017 | 9 | 2017 |