基本信息
浏览量:0
职业迁徙
个人简介
Dr. Urbanowicz’s research focuses on the development, evaluation and application of bioinformatics and machine-learning methods in biomedical and clinical problems. The motivation for these new methods stems from the challenges presented by (1) large-scale data analysis; (2) integrating data types/sources; (3) complex patterns of association (e.g., epistasis(link is external), genetic heterogeneity(link is external) and pleiotropy(link is external); (4) rare variants; (5) genome-to-phenome analysis; (6) the need for interpretable (non-black-box) models; (7) noisy, incomplete data; (8) covariates; and (9) matching or adapting method(s) to a problem with limited domain knowledge. Therefore, his work targets strategies that are scalable, adaptable, interpretable and clinically translatable.
研究兴趣
论文共 10 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
The Lancet. Respiratory medicineno. 10 (2023): 873-882
Journal of medical systemsno. 1 (2023): 83-83
Annals of the American Thoracic Societyno. 6 (2022): 952-961
Chest (2022)
Zihe Zheng,Hongzhe Li,Eugene P. Rhee,Wei Yang, Sushrut S. Waikar,Ryan Urbanowicz,Amanda H. Anderson,Dawei Xie,Harold I. Feldman
Journal of the American Society of Nephrologyno. 10S (2020): 182-182
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