The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

Paula Dhiman; Rebecca Whittle; Ben Van Calster; Marzyeh Ghassemi; Xiaoxuan Liu; Melissa D. McCradden; Karel G.M. Moons; Richard D. Riley; Gary S. Collins

doi:10.1038/s42256-023-00705-6

The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

Paula Dhiman^*, Rebecca Whittle, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Melissa D. McCradden, Karel G.M. Moons, Richard D. Riley, Gary S. Collins

^*Corresponding author for this work

Research output: Contribution to journal › Letter › Academic › peer-review

Original language	English
Pages (from-to)	816-817
Number of pages	2
Journal	Nature Machine Intelligence
Volume	5
Issue number	8
DOIs	https://doi.org/10.1038/s42256-023-00705-6
Publication status	Published - Aug 2023

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title = "The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols",

author = "Paula Dhiman and Rebecca Whittle and {Van Calster}, Ben and Marzyeh Ghassemi and Xiaoxuan Liu and McCradden, {Melissa D.} and Moons, {Karel G.M.} and Riley, {Richard D.} and Collins, {Gary S.}",

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doi = "10.1038/s42256-023-00705-6",

language = "English",

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AU - Dhiman, Paula

AU - Whittle, Rebecca

AU - Van Calster, Ben

AU - Ghassemi, Marzyeh

AU - Liu, Xiaoxuan

AU - McCradden, Melissa D.

AU - Moons, Karel G.M.

AU - Riley, Richard D.

AU - Collins, Gary S.

PY - 2023/8

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DO - 10.1038/s42256-023-00705-6

M3 - Letter

AN - SCOPUS:85168478637

VL - 5

SP - 816

EP - 817

JO - Nature Machine Intelligence

JF - Nature Machine Intelligence

IS - 8

ER -

The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

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