Johan Van Soest Email & Phone Number

Nederweert, LI, NL

Working at the Brightlands institute for Smart digital Society (BISS).Affiliated to:- The Clinical Data Science (CDS) research group at Maastricht University- MAASTRO ClinicFocus area: Informatics infrastructures and methods for FAIR data and federated data analysis.

Maastricht

FAIR and distributed analytics support for healthcare researchers. For more information, see http://www.medicaldataworks.nl

Maastricht Area, Netherlands

Maintenance (and partly development) of a central DICOM image repository for research purposes, part of the CTMM TraIT project.

Maastricht Area, Netherlands

PhD project working on the centralized and distributed learning of prognostic/predictive models in radiation oncology. Especially with a focus on knowledge representation, methods for validation of existing models, and translation into clinical practice.

Toronto, Canada Area

The overall aim of the canCAT project is to establish a global distributed rapid learning network of radiotherapy centers to learn outcome predictive models and apply these in decision support systems.Specifically, by setting up a distributed learning infrastructure, exchange knowledge, create long lasting (personal) contacts and develop a prediction model.

Sydney, Australia

Setting up a collaborating infrastructure to perform distributed machine learning on routine clinical datasets (nightly extraction of datasets). Main reason to choose distributed machine learning is to keep datasets (and therefore patient information) in the hospitals. Instead, the candidate prediction models are sent to the local centers, rather than.

Final internship in finishing the master medical informatics. Subject of SRP is score optimization in a clinical setting.In intensive care medicine, scoring systems can be used to monitor the patient's progress. As these scoring schemes have been validated based on their outcome in clinical practice, the cutoff values within the scoring schemes are not.

Application development, Web development, Data architecture

Developing a questionnaire management application for research regarding fall prevention in elderly patients.Furthermore, performing statistical analysis to identify risk factors for recurring falls, based on questionnaire results.

Internship at dept. of Nuclear Medicine, using ITT-VIS IDL to generate 3D views from 2D DICOM images

Software development of own branded CMS system

Msc, Medical Informatics

Activities and Societies: member discussion committee (nabesprekingscommissie), IPHIE 2012 attendee

Bsc, Computer Informatics

Activities and Societies: Software development, Database development, Medical systems, Embedded software

Education record