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Person
Person

Person

Fabian Praßer (1982-)

Informatiker

Name

Fabian Praßer

Time

1982- (Date of birth and death)

Place

Starnberg (Geburtsort)
München (Wirkungsort)
Berlin (Wirkungsort)
Deutschland

Gender

männlich

Academic degree

Prof. Dr.

Profession

Informatiker (characteristic profession)
Hochschullehrer

Variant

Fabian Prasser

Related

Medizinische Informatik (Promotion und Habilitation) (Studienfach)

Further information

Habil. Fach Medizinische Informatik an der Techn. Univ. München; Professor für Medizininformatik an der Charité - Universitätsmedizin Berlin; Inhaber des Lehrstuhls für Medizininformatik am Berlin Institute of Health in der Charité - Universitätsmedizin Berlin

Source

AM

Record type

Person

GND-Identifier

1036892360

Record ID

1036892360

Involved in

show all

Comparison of Three Anonymization Tools for a Health Fitness Study

A quantitative analysis of the use of anonymization in biomedical research

Pseudonymization tools for medical research: a systematic review

A scoping review of privacy and utility metrics in medical synthetic data

Integrating the Patient Perspective into Healthcare and Real-World Evidence: The Multi-site, Cross-Disease, Patient-Centered Outcomes Research Project in the Medical Informatics Initiative (PCOR-MII)

EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned

Technological interventions to alleviate alarm fatigue in intensive care medicine : an IT systems approach

Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland – wie können Defizite behoben werden?

An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse

Arbeitsgruppe Interoperabilität: Kerndatensatz und Informationssysteme für Integration und Austausch von Daten in der Medizininformatik-Initiative

Grundlagen für die wissenschaftliche Nutzung umfangreicher Versorgungsdaten in Deutschland – Ergebnisse der AG Data Sharing der Medizininformatik-Initiative

National standardisierter Broad Consent in der Praxis: erste Erfahrungen, aktuelle Entwicklungen und kritische Betrachtungen

Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease

Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned

The costs of anonymization: case study using clinical data

The Costs of Anonymization: Case Study Using Clinical Data

Sleep apnea healthcare management in dynamically changing times : Unlocking the potential of digitalization for better care of obstructive sleep apnea—in Germany and beyond

Data integration and analysis for circadian medicine

Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores

White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland

Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients

EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation

SARS-CoV-2 infection in chronic kidney disease patients with pre-existing dialysis: description across different pandemic intervals and effect on disease course (mortality)

Das Modell der Datentreuhand in der medizinischen Forschung

Privacy-preserving data sharing infrastructures for medical research: systematization and comparison

Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease

Die COVID-19 Pandemie als Herausforderung und Chance für Register in der Versorgungsforschung: Erfahrungen aus Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)

NFDI4Health – Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten

Agile and privacy preserving data warehousing for biomedical research

All-cause mortality and disease progression in SARS-CoV-2-infected patients with or without antibiotic therapy: an analysis of the LEOSS cohort

Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease

Outcomes of SARS-CoV-2 infections in patients with neurodegenerative diseases in the LEOSS cohort

Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19

The use of machine learning in rare diseases: a scoping review

Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative

A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models

Pseudonymization for research data collection: is the juice worth the squeeze?

Data Integration for Future Medicine (DIFUTURE) : An Architectural and Methodological Overview

Neue Methoden für die anonyme Verarbeitung sensibler medizinischer Forschungsdaten

Efficient and effective pruning strategies for health data de-identification

The Importance of Context: Risk-based De-identification of Biomedical Data

A generic solution for web-based management of pseudonymized data

Incremental ontology-based integration for translational medical research

Incremental Ontology-Based Integration for Translational Medical Research

Informatics and Translational Medical Research: Challenges and Developments
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