22 citations · 30 across the 5 of their papers we have counts for
7 papers
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy
Leonard Dervishi, Xinyue Wang, Wentao Li +4
With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and…
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
Md Monowar Anjum, Noman Mohammed, Xiaoqian Jiang
In this work, we propose a novel problem formulation for de-identification of unstructured clinical text. We formulate the de-identification problem as a sequence to sequence learn…
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
Yi Deng, Xiaoqian Jiang, Qi Long
Distributed health data networks that use information from multiple sources have drawn substantial interest in recent years. However, missing data are prevalent in such networks an…
Secure and Differentially Private Bayesian Learning on Distributed Data
Yeongjae Gil, Xiaoqian Jiang, Miran Kim +1
Data integration and sharing maximally enhance the potential for novel and meaningful discoveries. However, it is a non-trivial task as integrating data from multiple sources can p…
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Jing Ma, Qiuchen Zhang, Jian Lou +3
Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meani…
Efficient Determination of Equivalence for Encrypted Data
Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang +6
Secure computation of equivalence has fundamental application in many different areas, including healthcare. We study this problem in the context of matching an individual identity…