统计与数据科学系系列学术报告之四百五十二期

时    间：2024年10月15日（星期二）14:00-15:00

地    点：史带楼603室

主持人：复旦大学 管理学院 统计与数据科学系 夏寅 教授

报告人：Dr. Doudou Zhou  National University of Singapore

题   目：Representation Learning for Integrative Analysis of Multi-institutional EHR Data

摘    要：The widespread adoption of electronic health records (EHR) presents unprecedented opportunities for advancing biomedical research and improving patient care. However, integrating data across diverse healthcare systems is challenging due to differences in EHR coding systems, patient demographics, and care models. To overcome these challenges, this talk introduces novel methods for co-training multi-source feature embeddings using (1) block-wise overlapping noisy matrix completion and (2) graph neural networks. These methods address privacy concerns by relying on summary-level EHR data, enabling secure collaboration among institutions. The resulting harmonized embeddings support a range of clinical applications, including cross-institutional code mapping, feature selection, knowledge graph construction, and patient profiling, demonstrating their potential to enhance precision in healthcare decision-making.

个人简介：Dr. Doudou Zhou is an assistant professor at the Department of Statistics and Data Science, National University of Singapore. Dr. Zhou obtained his Ph.D. degree in statistics from the University of California, Davis, and completed his postdoctoral fellowship at the Harvard T.H. Chan School of Public Health. His research interests include electronic health records, high-dimensional statistics, transfer learning, and federated learning.

统计与数据科学系

2024-9-26