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Journal of Big Data
Fig. 1 | Journal of Big Data

Fig. 1

From: Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Fig. 1

llustration of how longitudinal data (part A) can be converted into labelled data using the case-control design (part B) and the cohort design (part C). The case-control design centers around the outcome date and uses data prior to this date to construct features. The cohort design centers around the date a patient satisfies criteria, using data prior to this to construct features and data post this to identify class labels

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