Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

We sought to summarize the study design, modelling strategies, and performance measures reported in studies on clinical prediction models developed using machine learning techniques. We search PubMed for articles published between 01/01/2018 and 31/12/2019, describing the development or the developm...

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Vydané v:	Journal of clinical epidemiology Ročník 154; s. 8 - 22
Hlavní autori:	Andaur Navarro, Constanza L., Damen, Johanna A.A., van Smeden, Maarten, Takada, Toshihiko, Nijman, Steven W.J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G.M., Hooft, Lotty
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.02.2023 Elsevier Limited
Predmet:	Algorithms Calibration Datasets Design Development Diagnosis Epidemiology Humans Internal Medicine Learning algorithms Machine Learning Medical diagnosis Medical prognosis Missing data Patients Prediction models Predictive algorithm Prognosis Risk prediction ROC Curve Supervised learning Supervised Machine Learning Support vector machines Systematic review Validation Validation Development Risk prediction Prognosis Diagnosis Predictive algorithm diagnosis predictive algorithm development prognosis risk prediction validation
ISSN:	0895-4356, 1878-5921, 1878-5921
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