2020
DOI: 10.1016/j.pan.2020.07.180
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Machine Learning approach to predict Post-ERCP Pancreatitis in the STARK international multicenter prospective cohort study

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“…The development of an accurate and robust prediction score for PEP could allow for more judicious case selection and optimal management to reduce the risk. A machine learning based model has been developed for this purpose and the findings published in abstract form using data from an international, multicentre, prospective study, entitled the 'STARK project' [31]. 1,150 patients were included with an 6.1% incidence of PEP.…”
Section: Prediction Of Post Ercp Acute Pancreatitismentioning
confidence: 99%
“…The development of an accurate and robust prediction score for PEP could allow for more judicious case selection and optimal management to reduce the risk. A machine learning based model has been developed for this purpose and the findings published in abstract form using data from an international, multicentre, prospective study, entitled the 'STARK project' [31]. 1,150 patients were included with an 6.1% incidence of PEP.…”
Section: Prediction Of Post Ercp Acute Pancreatitismentioning
confidence: 99%