References

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• 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration5,114 cited
• 2014Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist2,012 cited
• 2018PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration1,663 cited
• 2021Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence851 cited
• 2015Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement439 cited
• 2022Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review126 cited
• 2021Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved110 cited

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