Data quality in a distributed learning environment

Vast amounts of data to improve cancer treatment decisions

Image: MAASTRO

This project brings together academic, industrial and clinical leaders in a ‘Big-Data’ approach to improve cancer care. The project team will use, in a privacy preserving manner, vast amounts of data from thousands of patients from top cancer centres (for example MAASTRO and other national/international partners) to learn decision support systems (DSS) and demonstrate that these lead to better treatment decisions. The current network consists of 14 global partners from The Netherlands, Germany, Belgium, Italy, UK, Australia, China, USA and India.

The aim of this project is to further develop technology that enables global RLHC through local deployment, resulting in accurate, robust and actionable clinical DSS.

An important expected impact of this project is to induce a paradigm-shift, where healthcare professionals show increased acceptance of sophisticated ICT solutions in daily practice, and in particular predictive models and DSS. The field of Radiation Oncology is the ideal candidate to incite this necessary change, as the physicians in this field already make use of many ICT tools (for example visualization of anatomy/physiology/dose).

Project repository: https://github.com/maastroclinic/DataFAIRifier

Participating organisations

Life Sciences
Life Sciences
Maastro
Netherlands eScience Center

Output

  • 1.
    Data Quality in a distributed learning environment
    Author(s): Berend Weel

Team

Contact person

Berend Weel

Berend Weel

eScience Research Engineer
Netherlands eScience Center
AM
Adriënne Mendrik
eScience Coordinator
Netherlands eScience Center
AD
A.L.A.J. Dekker
Principal investigator
Maastro
Berend Weel
Berend Weel
eScience Research Engineer
Netherlands eScience Center

Related projects

DTL Semantic Analysis of radiology Reports utilizing Lexicon

Unlocking large volumes of knowledge locked in natural text

Updated 11 months ago
Finished

FAIR is as FAIR does

Integrating data publishing principles in scientific workflows

Updated 12 months ago
Finished

FEDMix

Fusible evolutionary deep neural network mixture learning from distributed data for robust medical...

Updated 11 months ago
Finished

DeepRank

Scoring 3D protein-protein interaction models using deep learning

Updated 11 months ago
Finished

Googling the cancer genome

Identification and prioritization of cancer-causing structural variations in whole genomes

Updated 1 week ago
Finished

Enhancing Protein-Drug Binding Prediction

Combining molecular simulation and eScience technologies

Updated 11 months ago
Finished

Massive Biological Data Clustering, Reporting and Visualization Tools

Sequence validation in the DNA barcoding project

Updated 11 months ago
Finished

ODEX4all

Open discovery and exchange for all

Updated 11 months ago
Finished

Biomarker Boosting

Better biomarkers through datasharing

Updated 11 months ago
Finished

Related software

grlc

GR

Builds a web API from SPARQL queries hosted on GitHub to accessing triple store data.

Updated 5 months ago
5 3