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Quantifying the versatility of routinely measured prognostic factors.

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第一作者： Hamish,Innes

第一单位： School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK. Hamish.innes@gcu.ac.uk.;University of Nottingham, Lifespan and Population Health, Nottingham, UK. Hamish.innes@gcu.ac.uk.;Public Health Scotland, Blood Borne Virus and STI, Glasgow, UK. Hamish.innes@gcu.ac.uk.

作者： Hamish,Innes ^[1] ; Philip J,Johnson ^[2]

作者单位： School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK. Hamish.innes@gcu.ac.uk.;University of Nottingham, Lifespan and Population Health, Nottingham, UK. Hamish.innes@gcu.ac.uk.;Public Health Scotland, Blood Borne Virus and STI, Glasgow, UK. Hamish.innes@gcu.ac.uk. ^[1] Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK. ^[2]

关键词 Algorithm Clinical prediction models Personalised medicine Prediction Prognosis Prognostic factors

DOI 10.1186/s41512-025-00206-7

PMID 41340068

发布时间 2025-12-06

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Quantifying the versatility of routinely measured prognostic factors.

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Quantifying the versatility of routinely measured prognostic factors.

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