讲座题目：Efficient Integration of EHR and Other Healthcare Datasets
讲座时间：2020年10月28日，星期三，上午10:00-12:00
讲座人： Rui Duan教授，Harvard University
讲座内容简介：
The growth of availability and variety of healthcare data sources has provided unique opportunities for data integration and evidence synthesis, which can potentially accelerate knowledge discovery and enable better clinical decision making. However, many practical and technical challenges, such as data privacy, high-dimensionality and heterogeneity across different datasets, remain to be addressed. In this talk, I will introduce several methods for effective and efficient integration of electronic health records (EHR) and other healthcare datasets. Specifically, we develop communication-efficient distributed algorithms for jointly analyzing multiple datasets without the need of sharing patient-level data. Our algorithms do not require iterative communication across sites, and are able to account for heterogeneity across different datasets. We provide theoretical guarantees for the performance of our algorithms, and examples of implementing the algorithms to real-world clinical research networks.
讲座人简介：
Dr. Duan is an Assistant Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She received her Ph.D. in Biostatistics in May 2020 from the University of Pennsylvania. Her research interests focus on three distinct areas: methods for integrating evidence from different data sources, identifying signals from high dimensional data, and accounting for suboptimality of real-world data, such as missing data and measurement errors. She has developed communication-efficient and privacy-preserving federated learning algorithms that leverage information from multiple EHR datasets to study pediatric Crohn’s disease, opioid use disorder, Alzheimer’s disease, and drug adverse events. She has also developed novel statistical models for detecting pleiotropic effects using EHR-linked biobank data. Her research and collaborations had led to important manuscripts at statistics, medical informatics, genetics and pharmacovigilance.
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会议时间：2020/9/23 10:00-12:00
重复周期：每周(周三)
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