All models are wrong and yours are useless: making clinical prediction models impactful for patients
Florian Markowetz
Abstract
Most published clinical prediction models are never used in clinical practice and there is a huge gap between academic research and clinical implementation. Here, I propose ways for academic researchers to be proactive partners in improving clinical practice and to design models in ways that ultimately benefit patients .
Topics & Concepts
StatisticianYardstickContext (archaeology)HumilityOddsComputer scienceOutcome (game theory)Predictive modellingWonderComputational modelClinical PracticeIngenuityData sciencePsychologyArtificial intelligenceEpistemologyMachine learningMedicineEconomicsSocial psychologyLogistic regressionMathematical economicsLawPolitical scienceMathematicsPhilosophyBiologyPaleontologyPathologyFamily medicineGeometryRadiomics and Machine Learning in Medical ImagingColorectal Cancer Screening and DetectionMachine Learning in Healthcare