Mining electronic health records (EHRs) A survey

P Yadav, M Steinbach, V Kumar, G Simon - ACM Computing Surveys …, 2018 - dl.acm.org
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Modelchain: Decentralized privacy-preserving healthcare predictive modeling framework on private blockchain networks

TT Kuo, L Ohno-Machado - arXiv preprint arXiv:1802.01746, 2018 - arxiv.org
Cross-institutional healthcare predictive modeling can accelerate research and facilitate
quality improvement initiatives, and thus is important for national healthcare delivery …

A critical overview of privacy-preserving approaches for collaborative forecasting

C Gonçalves, RJ Bessa, P Pinson - International journal of Forecasting, 2021 - Elsevier
Cooperation between different data owners may lead to an improvement in forecast quality—
for instance, by benefiting from spatiotemporal dependencies in geographically distributed …

[PDF][PDF] 面向数据发布和分析的差分隐私保护

张啸剑, 孟小峰 - 计算机学报, 2014 - 159.226.43.17
摘要随着数据分析和发布等应用需求的出现和发展, 如何保护隐私数据和防止敏感信息泄露成为
当前面临的重大挑战. 基于k-匿名或者划分的隐私保护方法, 只适应特定背景知识下的攻击而 …

WebDISCO: a web service for distributed cox model learning without patient-level data sharing

CL Lu, S Wang, Z Ji, Y Wu, L Xiong… - Journal of the …, 2015 - academic.oup.com
Abstract Objective The Cox proportional hazards model is a widely used method for
analyzing survival data. To achieve sufficient statistical power in a survival analysis, it …

Anonymizing healthcare data: a case study on the blood transfusion service

N Mohammed, BCM Fung, PCK Hung… - Proceedings of the 15th …, 2009 - dl.acm.org
Sharing healthcare data has become a vital requirement in healthcare system management;
however, inappropriate sharing and usage of healthcare data could threaten patients' …

DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties

A Imakura, R Tsunoda, R Kagawa, K Yamagata… - Journal of Biomedical …, 2023 - Elsevier
The demand for the privacy-preserving survival analysis of medical data integrated from
multiple institutions or countries has been increased. However, sharing the original medical …

Advances in knowledge discovery and data mining

BS Yang, ZH Zhou, Z Gong, ML Zhang, SJ Huang - Proceedings, 2014 - Springer
Property technology (proptech) has developed proprietary systems by bringing properties
and their owners from offline to online and has stimulated several productive studies for …

Privacy-preserving construction of generalized linear mixed model for biomedical computation

R Zhu, C Jiang, X Wang, S Wang, H Zheng… - …, 2020 - academic.oup.com
Motivation The generalized linear mixed model (GLMM) is an extension of the generalized
linear model (GLM) in which the linear predictor takes random effects into account. Given its …

Secure multi-pArty computation grid LOgistic REgression (SMAC-GLORE)

H Shi, C Jiang, W Dai, X Jiang, Y Tang… - BMC medical informatics …, 2016 - Springer
Background In biomedical research, data sharing and information exchange are very
important for improving quality of care, accelerating discovery, and promoting the …