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Jiang Bian
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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
4632020
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
3062012
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
1352020
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
1282018
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
1172020
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
1152016
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
982016
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
862018
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
862015
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
762019
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
712018
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
672014
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
662019
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
612018
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
602017
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
572020
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
492018
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
452019
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
452019
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
432017
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