Wessel Kraaij

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My main interest is to derive intermediate semantic information from unstructured data sources (text, video, audio) for indexing, retrieval and knowledge mining purposes in diverse application settings but currently focusing on health. I am lead scientist of the TNO early research programme 'Making Sense of Big Data'. In addition I am leading the project SWELL, -user centric reasoning for well-working-, which is part of the Dutch national COMMIT research programme. I am also one of the coordinators of TRECVID, the annual benchmark workshop focusing on the evaluation of video indexing and retrieval systems. At Radboud University, I have a part time appointment as professor in 'Informati...

privacy personalized health patient forum miner citizen empowerment trusted health data infrastructures responsible data science privace preserving data mining personal health train secure multiparty computation data science patient driven hypotheses stress sensors value based health care tailoring precision medicine fact data sience fair data data driven hypothesis ranking evidence based medicine health outcomes distributed learning data analytics mpc cryptography gdpr health data cooperative encryption analytics data mining governance social media self management gist patients causal effects big data

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Wessel Kraaij

Présentations

Quantified Self voor gepersonaliseerde gezondheid

The shared value of personal and population data

Towards an ecosystem for privacy respecting analysis of distributed health data

Kraaij infrastructures for secure data analytics def brussel 2017

Citizen controlled health data lockers as a game changer

From personal health data to a personalized advice

Enabling Analytics on Sensitive Medical Data with Secure Multiparty Computation

Improving health care outcomes with responsible data science

Unobtrusive sensors for measuring well-being at work

Documents

Improving health care outcomes with responsible data science #escience2018

J’aime

Open Data in Agrifood: A Tutorial