| A content analysis of patient-reported medication outcomes on social media B Ru, K Harris, L Yao 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 472-479, 2015 | 25 | 2015 |
| Using deep learning to identify high-risk patients with heart failure with reduced ejection fraction Z Wang, X Chen, X Tan, L Yang, K Kannapur, JL Vincent, GN Kessler, ... Journal of health economics and outcomes research 8 (2), 6, 2021 | 23 | 2021 |
| Serendipity—a machine-learning application for mining serendipitous drug usage from social media B Ru, D Li, Y Hu, L Yao IEEE transactions on nanobioscience 18 (3), 324-334, 2019 | 22 | 2019 |
| Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data S Li, Z Wang, LA Vieira, AB Zheutlin, B Ru, E Schadt, P Wang, ... NPJ Digital Medicine 5 (1), 68, 2022 | 19 | 2022 |
| A literature review of social media-based data mining for health outcomes research B Ru, L Yao Social web and Health Research: benefits, limitations, and best practices, 1-14, 2019 | 9 | 2019 |
| Identifying serendipitous drug usages in patient forum data-a feasibility study B Ru, C Warner-Hillard, Y Ge, L Yao International Conference on Health Informatics 6, 106-118, 2017 | 8 | 2017 |
| Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model YG TH. Maryam, B.Ru, T. Xie, M. Hadzikadic, QJ Wu IEEE 2019 International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 6* | 2019 |
| Evaluation of the informatician perspective: determining types of research papers preferred by clinicians B Ru, X Wang, L Yao BMC medical informatics and decision making 17, 5-14, 2017 | 6 | 2017 |
| Comparison of machine learning algorithms for predicting hospital readmissions and worsening heart failure events in patients with heart failure with reduced ejection fraction … B Ru, X Tan, Y Liu, K Kannapur, D Ramanan, G Kessler, D Lautsch, ... JMIR Formative Research 7, e41775, 2023 | 4 | 2023 |
| A machine learning approach to real‐world time to treatment discontinuation prediction W Meng, X Zhang, B Ru, Y Guan Advanced Intelligent Systems 5 (4), 2200254, 2023 | 3 | 2023 |
| Fit-for-Purpose Real-World Data Assessments in Oncology: A Call for Cross-Stakeholder Collaboration K Desai, S Chandwani, B Ru, M Reynolds, J Christian, H Estiri ISPOR - Value & Outcomes Spotlight 7 (3), 34-36, 2021 | 3 | 2021 |
| Improving pre-eclampsia risk prediction by modeling individualized pregnancy trajectories derived from routinely collected electronic medical record data S Li, Z Wang, LA Vieira, AB Zheutlin, B Ru, E Schadt, P Wang, ... medRxiv, 2021.03. 23.21254178, 2021 | 3 | 2021 |
| Detecting serendipitous drug usage in social media with deep neural network models B Ru, D Li, L Yao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 3 | 2018 |
| An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge. Y Jia, X Wang, H Cao, B Ru, T Yang eCOM@ SIGIR, 2018 | 3 | 2018 |
| PCN37 an Oncology Real-World Data Assessment Framework for Outcomes Research K Desai, S Chandwani, B Ru, M Reynolds, JB Christian, H Estiri Value in Health 24, S25, 2021 | 2 | 2021 |
| Identifying Serendipitous Drug Usages From Patient-Reported Medication Outcomes on Social Media B Ru The University of North Carolina at Charlotte, 2018 | 2 | 2018 |
| Integration of accountable care organization and additional hospital data into CMS referral analytics system B Ru, Q Wu, X Wang, L Yao, Y Jia 2017 IEEE International Conference on Healthcare Informatics (ICHI), 357-361, 2017 | 2 | 2017 |
| Predicting measles outbreaks in the United States: Evaluation of machine learning approaches B Ru, S Kujawski, NL Afanador, R Baumgartner, M Pawaskar, A Das JMIR Formative Research 7 (1), e42832, 2023 | 1 | 2023 |
| Generic medical concept embedding and time decay for diverse patient outcome prediction tasks Y Li, W Dong, B Ru, A Black, X Zhang, Y Guan Iscience 25 (9), 2022 | 1 | 2022 |
| Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study B Ru, A Sillah, K Desai, S Chandwani, L Yao, S Kothari JMIR Medical Informatics 12, e47744, 2024 | | 2024 |
Lixia YaoPolygon Health Analytics | Merck | Mayo Clinic | UNCC | Columbia University確認したメール アドレス: polygonhealthanalytics.com
