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Assessing the added value of context during stress detection from wearable data
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mBrain : towards the continuous follow-up and headache classification of primary headache disorder patients
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Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients
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Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project) : study design and rationale
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An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach
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The concept of justifiable healthcare and how big data can help us to achieve it
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MINDWALC : mining interpretable, discriminative walks for classification of nodes in a knowledge graph
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A decision support system to follow up and diagnose primary headache patients using semantically enriched data
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Patient and provider acceptance of telecoaching in type 2 diabetes : a mixed-method study embedded in a randomised clinical trial
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Prediction of delayed graft function after kidney transplantation : comparison between logistic regression and machine learning methods