Jie Ma
0000-0002-3900-1903
Oxford University
11 papers found
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Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models
Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Protocol 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 intelligence
Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Risk Prediction Models in Perioperative Medicine: Methodological Considerations
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