EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning - Wikidata - wikimedia - TriplyDB

EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning

EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning

http://www.wikidata.org/entity/Q28681721

about

Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)WebDISCO: a web service for distributed cox model learning without patient-level data sharing COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data Grid multi-category response logistic models pSCANNER: patient-centered Scalable National Network for Effectiveness Research WebGLORE: a web service for Grid LOgistic REgression Clinical Research Informatics for Big Data and Precision Medicine.Pediatric readmission classification using stacked regularized logistic regression models.Privacy-preserving GWAS analysis on federated genomic datasets PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States.When you can't tell when it hurts: a preliminary algorithm to assess pain in patients who can't communicate.Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation.

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EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning

http://www.wikidata.org/entity/Q28681721

description

2013 nî lūn-bûn

@nan

2013 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

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2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

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2013年論文

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2013年论文

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name

EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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EXpectation Propagation LOgist ...... eserving online model learning

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J.JBI.2013.03.008

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Journal of Biomedical Informatics

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EXpectation Propagation LOgist ...... eserving online model learning

@en

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Lijuan Cui

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Samuel Cheng

http://www.w3.org/2001/XMLSchema#string

Shuang Wang

http://www.w3.org/2001/XMLSchema#string

Xiaoqian Jiang

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Yuan Wu

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P2860

Preserving Institutional Privacy in Distributed binary Logistic Regression

A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning

Grid Binary LOgistic REgression (GLORE): building shared models without sharing data

iDASH: integrating data for analysis, anonymization, and sharing

DataSHIELD: resolving a conflict in contemporary bioscience--performing a pooled analysis of individual-level data without sharing the data

Secure analysis of distributed chemical databases without data integration.

A secure protocol to distribute unlinkable health data.

Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics.

Modeling medical prognosis: survival analysis techniques.

Using statistical and machine learning to help institutions detect suspicious access to electronic health records

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480-96

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scholarly article

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3976674

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10.1016/J.JBI.2013.03.008

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3

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46

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Lucila Ohno-Machado

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2013-06-01T00:00:00Z

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236127388

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23562651

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logistic regression model

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3676314

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