Jiang Bian

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	Wszystkie	Od 2018
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Mattia ProsperiUniversity of FloridaZweryfikowany adres z ufl.edu
William R. HoganProfessor and Director, Data Science InstituteZweryfikowany adres z mcw.edu
Yonghui WuAssociate Professor, University of FloridaZweryfikowany adres z ufl.edu
Zhe He, PhD, FAMIAAssociate Professor, Florida State UniversityZweryfikowany adres z cci.fsu.edu
Elizabeth ShenkmanProfessor and Chair, University of FloridaZweryfikowany adres z ufl.edu
Xi YangDepartment of Health Outcomes and Biomedical Informatics, University of FloridaZweryfikowany adres z ufl.edu
Fei Wang, FAMIA, FIAHSI, FACMIAssociate Professor at Cornell UniversityZweryfikowany adres z med.cornell.edu
Francois ModaveDepartment of Anesthesiology, College of Medicine, University of FloridaZweryfikowany adres z anest.ufl.edu
Jie XuHealth Outcomes & Biomedical Informatics, University of FloridaZweryfikowany adres z ufl.edu
hansi zhangBosch Corporate ResearchZweryfikowany adres z cn.bosch.com
Zhaoyi ChenUniversity of FloridaZweryfikowany adres z ufl.edu
Xing HeBiomedical Informatics, University of FloridaZweryfikowany adres z ufl.edu
Umit TopalogluWake Forest School of MedicineZweryfikowany adres z wakehealth.edu
Cui TaoProfessor, University of Texas Health Science Center at HoustonZweryfikowany adres z uth.tmc.edu
Yunpeng ZhaoLowe's Tech HubZweryfikowany adres z lowes.com
Rui Zhang, PhD, FAMIADivision Chief and Associate Professor, University of MinnesotaZweryfikowany adres z umn.edu
Qian LiUniversity of FloridaZweryfikowany adres z ufl.edu
Young-Rock HongUniversity of FloridaZweryfikowany adres z ufl.edu
Jae S. MinEpidemiologist @ Evidation HealthZweryfikowany adres z ufl.edu
Yong ChenProfessor of Biostatistics, The University of PennsylvaniaZweryfikowany adres z upenn.edu

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Jiang Bian

Health Outcomes & Biomedical Informatics, University of Florida

Zweryfikowany adres z ufl.edu - Strona główna

cancer informatics data science with real-world data eHealth and social media ontology/semantic web data privacy in health


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	687	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	316	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	200	2020
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	171	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	159	2018
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	132	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	105	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	101	2018
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	97	2020
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	97	2019
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	91	2015
A large language model for electronic health records X Yang, A Chen, N PourNejatian, HC Shin, KE Smith, C Parisien, ... npj Digital Medicine 5 (1), 194, 2022	81*	2022
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	81	2018
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	78	2019
Extracting social determinants of health from electronic health records using natural language processing: a systematic review BG Patra, MM Sharma, V Vekaria, P Adekkanattu, OV Patterson, ... Journal of the American Medical Informatics Association 28 (12), 2716-2727, 2021	76	2021
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	69	2014
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	67	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	65	2017
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	61	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	61	2019

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