| Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang Journal of Healthcare Informatics Research, 1-19, 2020 | 463 | 2020 |
| Towards large-scale twitter mining for drug-related adverse events J Bian, U Topaloglu, F Yu Proceedings of the 2012 international workshop on Smart health and wellbeing …, 2012 | 306 | 2012 |
| Causal inference and counterfactual prediction in machine learning for actionable healthcare M Prosperi, Y Guo, M Sperrin, JS Koopman, JS Min, X He, S Rich, ... Nature Machine Intelligence 2 (7), 369-375, 2020 | 135 | 2020 |
| Big data hurdles in precision medicine and precision public health M Prosperi, JS Min, J Bian, F Modave BMC medical informatics and decision making 18 (1), 139, 2018 | 128 | 2018 |
| Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review SN Payrovnaziri, Z Chen, P Rengifo-Moreno, T Miller, J Bian, JH Chen, ... Journal of the American Medical Informatics Association 27 (7), 1173-1185, 2020 | 117 | 2020 |
| Twitter analysis: Studying US weekly trends in work stress and emotion W Wang, I Hernandez, DA Newman, J He, J Bian Applied Psychology 65 (2), 355-378, 2016 | 115 | 2016 |
| Mining Twitter to assess the public perception of the “Internet of Things” J Bian, K Yoshigoe, A Hicks, J Yuan, Z He, M Xie, Y Guo, M Prosperi, ... PloS one 11 (7), e0158450, 2016 | 98 | 2016 |
| Assessing the practice of biomedical ontology evaluation: Gaps and opportunities M Amith, Z He, J Bian, JA Lossio-Ventura, C Tao Journal of biomedical informatics 80, 1-13, 2018 | 86 | 2018 |
| Low quality of free coaching apps with respect to the American College of Sports Medicine guidelines: a review of current mobile apps F Modave, J Bian, T Leavitt, J Bromwell, C Harris III, H Vincent JMIR mHealth and uHealth 3 (3), e4669, 2015 | 86 | 2015 |
| Use of Social Media in Health Communication: Findings From the Health Information National Trends Survey 2013, 2014, and 2017. J Huo, R Desai, YR Hong, K Turner, AG Mainous, J Bian Cancer Control 26 (1), 1-10, 2019 | 76 | 2019 |
| Comparative effectiveness of bariatric procedures among adolescents: the PCORnet bariatric study TH Inge, RY Coley, LA Bazzano, SA Xanthakos, K McTigue, D Arterburn, ... Surgery for Obesity and Related Diseases 14 (9), 1374-1386, 2018 | 71 | 2018 |
| Social network analysis of biomedical research collaboration networks in a CTSA institution J Bian, M Xie, U Topaloglu, T Hudson, H Eswaran, W Hogan Journal of biomedical informatics 52, 130-140, 2014 | 67 | 2014 |
| Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review AM Lee, S Chavez, J Bian, LA Thompson, MJ Gurka, VG Williamson, ... JMIR mHealth and uHealth 7 (2), e11847, 2019 | 66 | 2019 |
| An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival H Zhang, Y Guo, Q Li, TJ George, E Shenkman, F Modave, J Bian BMC medical informatics and decision making 18 (2), 129-147, 2018 | 61 | 2018 |
| Smartphone-based vs paper-based asthma action plans for adolescents TT Perry, A Marshall, A Berlinski, M Rettiganti, RH Brown, SM Randle, ... Annals of Allergy, Asthma & Immunology 118 (3), 298-303, 2017 | 60 | 2017 |
| Clinical concept extraction using transformers X Yang, J Bian, WR Hogan, Y Wu Journal of the American Medical Informatics Association 27 (12), 1935-1942, 2020 | 57 | 2020 |
| Prevalence of multiple chronic conditions among older adults in Florida and the United States: comparative analysis of the OneFlorida data trust and national inpatient sample Z He, J Bian, HJ Carretta, J Lee, WR Hogan, E Shenkman, N Charness Journal of medical Internet research 20 (4), e8961, 2018 | 49 | 2018 |
| A study of deep learning methods for de-identification of clinical notes in cross-institute settings X Yang, T Lyu, Q Li, CY Lee, J Bian, WR Hogan, Y Wu BMC Medical Informatics and Decision Making 19 (5), 232, 2019 | 45 | 2019 |
| A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings X Yang, T Lyu, CY Lee, J Bian, WR Hogan, Y Wu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 45 | 2019 |
| Using social media data to understand the impact of promotional information on laypeople’s discussions: a case study of lynch syndrome J Bian, Y Zhao, RG Salloum, Y Guo, M Wang, M Prosperi, H Zhang, X Du, ... Journal of medical Internet research 19 (12), e414, 2017 | 43 | 2017 |
Mattia ProsperiUniversity of FloridaVerified email at ufl.edu
