Real-life clinical data mining: generating hypotheses for evidence-based medicine

  • Bibault J
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Abstract

Zhou et al. report in this journal a series of methodological reviews of clinical prediction model construction in 16 sections. They thoroughly explain the concept, current application and construction methods required to create such models with real-life data. Evidence-based medicine is based on randomized clinical trials designed to answer specific questions, like the efficacy or toxicity of a treatment.

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Bibault, J.-E. (2020). Real-life clinical data mining: generating hypotheses for evidence-based medicine. Annals of Translational Medicine, 8(4), 69–69. https://doi.org/10.21037/atm.2019.10.99

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