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This paper studies the feasibility of privacy-preservingdata mining in epidemiological study. As for the data-miningalgorithm, we focus to a linear multiple regression thatcan be used to identify the most significant factorsamong many possible variables, such as the historyof many diseases. We try to identify the linear model to estimate a lengthof hospital stay from distributed dataset related tothe...
In this paper, we propose a new secure protocols for privacy-preserving logistic regression of two vertically partitioned datasets. Our protocol is efficient in the sense that coefficients of logistic model are converged in few iterations by using the Iteratively Re-weighted Least Squares (IRLS). In the comparison to one of the existing work using the stochastic gradient descent (SGD), our protocol...
The Diagnosis Procedure Combination (DPC) database is a large-scale claim-based database of Japanese hospitals that uses a standardized case-mix patient-classification system for the evaluation of clinical procedures and hospital performance. The dataset does not include confidential information, although content details may allow identification of individual patients. We have developed a secure scheme...
In many hospitals, data related to patients are observed and collected to a central database for medical research. For instance, DPC dataset, which stands for Disease, Procedure and Combination, covers medical records for more than 7 million patients in more than 1000 hospitals. Using the distributed DPC data set, a number of epidemiological studied are feasible to reveal useful knowledge on medical...
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