Our mission is to apply Data Science to support clinical decision making and enable data-driven healthcare. Improved interoperability of data is necessary for this exciting goal.

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We perform methodological research in clinical prediction modelling and support the development of open-source analytical tools to support this exciting research domain.

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More education for young health data scientists, medical students, and healthcare professional, is needed to train them in the opportunities and limitations of big data in healthcare.

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Prediction Model Literature

Figure 1. The total number of prediction papers in PubMed. This demonstrates the very strong increase in publications in this research domain

Figure 2. Wordle presenting the disease areas in prediction literature. We created this by parsing the diseases in the abstract titles using natural language processing.


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