基本信息
浏览量:122
职业迁徙
个人简介
The increasing complexity of today’s medical research requires more than traditional, single point-of-view approaches. In particular, (big-)data-driven approaches, which aim to reveal patterns in massive heterogeneous datasets and make clinically relevant predictions, are becoming increasingly common in translational research. Dr. Bian has a diverse yet strong multi-disciplinary background and extensive research experience in data analytics, machine learning, natural language processing, network science, distributed computing systems and software engineering. Here at the University of Florida, Bian will focus on various aspects of Biomedical Informatics research, particularly in: 1) network science — understanding the structure and function of physical, biological, and social networks and how this structure and function relates to health and health care; 2) data-driven medicine — applications of machine learning and data mining techniques in biomedical research especially on solving big data problems; and 3) designing and developing tools and systems using informatics principles and techniques to support clinical research activities.
研究兴趣
论文共 154 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
medRxiv : the preprint server for health sciences (2024)
Gastroenterologyno. 5 (2024): S-1533
JOURNAL OF BIOMEDICAL INFORMATICSno. C (2024): 104630-104630
Chang Su, Yu Hou,Jielin Xu,Zhenxing Xu,Manqi Zhou, Alison Ke, Haoyang Li,Jie Xu,Matthew Brendel,Jacqueline R M A Maasch,Zilong Bai,Haotan Zhang,
NPJ digital medicineno. 1 (2024): 184-184
Ting-Yuan David Cheng,Dongtao Ann Fu,Sara Moscovita Falzarano,Runzhi Zhang,Susmita Datta,Weizhou Zhang,Angela Omilian,Livingstone Aduse-Poku,Jiang Bian, Jerome Irianto, Jaya Ruth Asirvatham,Martha Campbell-Thompson
medrxiv(2024)
CoRR (2024)
引用0浏览0EI引用
0
0
AMIA ... Annual Symposium proceedings. AMIA Symposium (2024): 1057-1066
引用0浏览0WOS引用
0
0
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2024)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn