Suyuan Peng, MD, PhD
Suyuan Peng, MD, PhD
National Institute of Health Data Science at Peking University
Verified email at bjmu.edu.cn
Title
Cited by
Cited by
Year
HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology
F Shen, S Peng, Y Fan, A Wen, S Liu, Y Wang, L Wang, H Liu
Journal of biomedical informatics 96, 103246, 2019
122019
Self-management interventions for chronic kidney disease: a systematic review and meta-analysis
S Peng, J He, J Huang, L Lun, J Zeng, S Zeng, L Zhang, X Liu, Y Wu
BMC nephrology 20 (1), 142, 2019
72019
Telehealth for the management of blood pressure in patients with chronic kidney disease: A systematic review
L Luo, M Ye, J Tan, Q Huang, X Qin, S Peng, Y Wang, T Zou, X Jie, X Liu, ...
Journal of Telemedicine and Telecare 25 (2), 80-92, 2019
32019
Leveraging association rule mining to detect pathophysiological mechanisms of chronic kidney disease complicated by metabolic syndrome
S Peng, Y Fan, L Wang, A Wen, X Liu, H Liu, F Shen
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
32018
Natural Language Processing for the Evaluation of Methodological Standards and Best Practices of EHR-based Clinical Research
S Fu, LA Carlson, KJ Peterson, N Wang, X Zhou, S Peng, J Jiang, Y Wang, ...
AMIA Summits on Translational Science Proceedings 2020, 171, 2020
22020
A chronic kidney disease patient awareness questionnaire: Development and validation
S Peng, J He, J Huang, J Tan, M Liu, X Liu, Y Wu
Plos one 14 (5), e0216391, 2019
12019
Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data
S Peng, F Shen, A Wen, L Wang, Y Fan, X Liu, H Liu
Journal of medical Internet research 21 (12), e14204, 2019
12019
Two Phenotypes of Acute Kidney Injury Among Patients with COVID-19: A Multicenter Study from Wuhan, China
S Peng, H Wang, X Sun, P Li, Z Ye, Q Li, J Wang, X Shi, R Zeng, Y Yao, ...
2020
基于机器学习方法的 CKD4 期中医慢病管理疾病预测模型的建立与验证
彭苏元
广州中医药大学, 2019
2019
Chronic Kidney Disease Medication Adherence and its Influencing Factors: An Observation and Analysis
M Zhang, D Zhang, S Peng, L Fu, J Tan, M Ye, Q Huang, L Luo, X Liu, ...
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
2018
补脾益肾法治疗慢性肾脏病的特色与优势
刘旭生, 揭西娜, 卢钊宇, 彭苏元
中国中西医结合肾病杂志, 1, 2018
2018
慢性肾脏病患者的运动管理
黄家晟, 何嘉炜, 彭苏元, 梁珏瑶, 刘枚芳, 卢钊宇, 苏国彬, 刘旭生
临床肾脏病杂志 17 (6), 324-328, 2017
2017
慢病管理在临床科研中的作用
何嘉炜, 林基伟, 彭苏元, 吴一帆, 刘旭生
世界科学技术-中医药现代化, 964-967, 2016
2016
基于数据挖掘探索慢性肾衰古方用药规律
彭苏元, 论龙威, 何嘉伟, 黄嘉晟, 刘旭生, 张蕾
2016 年中国中西医结合学会肾脏疾病专业委员会学术年会论文摘要汇编, 2016
2016
知情同意在慢性肾脏病慢病管理中的应用
彭苏元, 苏镜旭, 黄嘉晟, 何嘉伟, 吴一帆
2016 年中国中西医结合学会肾脏疾病专业委员会学术年会论文摘要汇编, 2016
2016
基于中医传承辅助软件对慢性肾衰古籍文献方药规律研究
彭苏元
广州中医药大学, 2015
2015
TCMISS-based analysis on the regularity of ancient TCM prescriptions for chronic renal failure
SY Peng, XS Liu, Y Li, L Zhang
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
2014
《 松峰说疫》 在小儿瘟疫防治中的成就
张弛, 宋乃光, 彭苏元
吉林中医药 30 (11), 1003-1005, 2010
2010
Self-management Interventions for Chronic Kidney Disease: A Systematic Review and
SY Peng, JW He, JS Huang, LW Lun, JH Zeng, S Zeng
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Articles 1–19