Linked2Safety Project (FP7-ICT-2011-7 – 5.3) A NEXT-GENERATION, SECURE LINKED DATA MEDICAL INFORMATION SPACE FOR SEMANTICALLY-INTERCONNECTING ELECTRONIC HEALTH RECORDS AND CLINICAL TRIALS SYSTEMS ADVANCING PATIENTS SAFETY IN CLINICAL RESEARCH 12 th International Conference on Bioinformatics and Bioengineering, Larnaka The effects of applying cell-suppression and perturbation to aggregated genetic data Athos Antoniades, John Keane, Aristos Aristodimou, Christa Philipou, Andreas Constantinou, Christos Georgousopoulos, Federica Tozzi, Kyriacos Kyriacou, Andreas Hadjisavas, Maria Loizidou, Christiana Demitriou and Constantinos Pattichis
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Linked2Safety Project (FP7-ICT-2011-7 – 5.3)A NEXT-GENERATION, SECURE LINKED DATA MEDICAL INFORMATION SPACE FOR
SEMANTICALLY-INTERCONNECTING ELECTRONIC HEALTH RECORDSAND CLINICAL TRIALS SYSTEMS
ADVANCING PATIENTS SAFETY IN CLINICAL RESEARCH
12th International Conference on Bioinformatics and Bioengineering, Larnaka
The effects of applying cell-suppression andperturbation to aggregated genetic data
Athos Antoniades, John Keane, Aristos Aristodimou, Christa Philipou, Andreas Constantinou, Christos Georgousopoulos, Federica Tozzi, Kyriacos Kyriacou, Andreas Hadjisavas, Maria Loizidou, Christiana Demitriou and Constantinos
Pattichis
FP7, ICT-2011 – 5.3 Page 2
Introduction
Why Share Data? What are the current legal and ethical
limitations? How have scientists shared medical data so far? Key Problems Perturbation Cell Suppression
FP7, ICT-2011 – 5.3 Page 3
The Problem
Why share data:Replication TestingStatistical PowerMultiple Testing Problem
Legal and Ethical IssuesAnonymization vs PseudoanonimizationLimitations derived from consent form signed by subjectsOther, regional, study, or subject specific issues.
FP7, ICT-2011 – 5.3 Page 4
How have scientists shared medical data Contingency Table and Data Cube
example
aa aA AA
Case U00 U01 U02
Control U10 U11 U12
FP7, ICT-2011 – 5.3 Page 5
16 year old widow Problem
A paper that analyzes data from a specific study reports:
Marital Status
Age
Age Married Widowed Single0-16 0 1 5018-24 10 5 5025-34 40 7 4035~ 60 15 20
FP7, ICT-2011 – 5.3 Page 6
16 year old widow Problem
A paper that analyzes data from a specific study reports:
Marital Status
Age
Age Married Widowed Single0-16 0 1 5018-24 10 5 5025-34 40 7 4035~ 60 15 20
FP7, ICT-2011 – 5.3 Page 7
16 year old widow Problem
A paper that analyzes data from a specific study reports:
Marital Status
Age
Age Married Widowed Single0-16 0 1 5018-24 10 5 5025-34 40 7 4035~ 60 15 20
FP7, ICT-2011 – 5.3 Page 8
Categorization Differences
Paper 1 that analyzes data from a specific
study reports:Marital Status
Age
Age MarriedWidowe
d Single0-16 NA NA 5018-24 10 7 5025-34 40 7 4035~ 60 15 20
Marital Status
Age
Age MarriedWidowe
d Single0-16 NA NA 5018-25 10 8 5026-35 45 7 4036~ 55 14 20