Paula Dhiman - Dissemin

All papers authored by Paula Dhiman

This paper is made freely available by the publisher.

2024 Gary S. Collins

, Karel G. M. Moons

, Paula Dhiman

, Richard D. Riley

, Andrew L. Beam

, Ben Van Calster

, Marzyeh Ghassemi

, Xiaoxuan Liu

, Johannes B. Reitsma

, Maarten van Smeden

, Anne-Laure Boulesteix

, Jennifer Catherine Camaradou

, Leo Anthony Celi

, Spiros Denaxas

, Alastair K. Denniston

and 19 other authors

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

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This paper was not found in any repository, but could be made available legally by the author.

2023 Jie Ma

, Paula Dhiman

, Cathy Qi

, Garrett Bullock, Maarten van Smeden, Richard D. Riley, Gary S. Collins

Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review

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Paula Dhiman

, Rebecca Whittle, Ben Van Calster

, Marzyeh Ghassemi, Xiaoxuan Liu, Melissa D. McCradden, Karel G. M. Moons, Richard D. Riley, Gary S. Collins

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

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Lasai Barreñada, Ashleigh Ledger, Paula Dhiman

, Gary S. Collins, Laure Wynants, Jan Y. Verbakel, Dirk Timmerman, Lil Valentin, Ben Van Calster

The ADNEX risk prediction model for ovarian cancer diagnosis: A systematic review and meta-analysis of external validation studies

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Paula Dhiman

, Jie Ma, Victoria N. Gibbs, Alexandros Rampotas, Hassan Kamal

, Sahar S. Arshad, Shona Kirtley, Carolyn Doree

, Michael F. Murphy

, Gary S. Collins, Antony J. R. Palmer

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery

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Constanza L. Andaur Navarro

, Johanna A. A. Damen

, Toshihiko Takada

, Steven W. J. Nijman, Paula Dhiman

, Jie Ma

, Gary S. Collins

, Ram Bajpai

, Richard D. Riley, Karel G. M. Moons, Lotty Hooft

Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models

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2022 Paula Dhiman

, Jie Ma, Constanza L. Andaur Navarro

, Benjamin Speich, Garrett Bullock, Johanna A. A. Damen, Lotty Hooft, Shona Kirtley, Richard D. Riley, Ben Van Calster, Karel G. M. Moons, Gary S. Collins

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

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Gary S. Collins

, Paula Dhiman

, Constanza L. Andaur Navarro

, Jie Ma

, Lotty Hooft, Johannes B. Reitsma

, Patricia Logullo

, Andrew L. Beam

, Lily Peng, Ben Van Calster

, Maarten van Smeden

, Richard D. Riley

, Karel Gm Moons

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

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Laure Wynants

, Ben Van Calster

, Gary S. Collins

, Richard D. Riley, Georg Heinze

, Ewoud Schuit

, Elena Albu

, Banafsheh Arshi

, Vanesa Bellou

, Marc M. J. Bonten

, Darren L. Dahly

, Johanna A. Damen

, Thomas P. A. Debray

, Valentijn M. T. de Jong

, Maarten De Vos

and 43 other authors

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

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Paula Dhiman

, Hopin Lee

, Shona Kirtley

, Gary S. Collins

A systematic review showed more consideration is needed when conducting nonrandomized studies of interventions

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All papers authored by Paula Dhiman