Hideo Yasunaga

Journal of Epidemiology · with Fushimi · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Hideo Yasunaga's perspective

Ordered by how strongly the researchers Hideo Yasunaga trusts endorse each paper. Same corpus, a different order for every researcher.

1. Privacy preserving association rule mining in vertically partitioned data
2. On Private Scalar Product Computation for Privacy-Preserving Data Mining
3. k-Anonymity: A Model for Protecting Privacy
4. Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
5. Privacy-Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products
6. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
7. Privacy-preserving logistic regression
8. Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
9. Privacy-Preserving Distributed Linear Regression on High-Dimensional Data
10. Risk of Suicide After Cancer Diagnosis in England (JAMA psychiatry)

Their papers

• Privacy-Preserving Multiple Linear Regression of Vertically Partitioned Real Medical Datasets (2017) — 23 citations
• Real World Data in Japan: Chapter II The Diagnosis Procedure Combination Database (2019) — 335 citations
• Validity of diagnoses, procedures, and laboratory data in Japanese administrative data (2017) — 747 citations