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profiles to improve diagnostic accuracy and patient stratification in cardiovascular diseases. You will work on synthetic data generation techniques to improve multi-centre training while maintaining privacy
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Mapping protocol regarding accessibility, meaningfulness and inclusivity in the proof-of-principle study in SmartCHANGE; Publish a ready to use, youth-friendly Realist-informed Ripple Effects Mapping
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for decision support. Some recent work has shown that the implementation of prediction models can be damaging for downstream patient outcomes even if model performance is outstanding. A start has been made
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