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Kym I. E. Snell

University of Birmingham

SCHOLARLY PAPERS

2

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247

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Larger Sample Sizes are Needed When Developing a Clinical Prediction Model Using Machine Learning in Oncology: Methodological Systematic Review

Number of pages: 40 Posted: 08 May 2024
Biruk Tsegaye, Kym I. E. Snell, Lucinda Archer, Shona Kirtley, Richard Riley, Matthew Sperrin, Ben van Calster, Gary Collins and Paula Dhiman
University of Oxford, University of Birmingham, University of Birmingham, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Birmingham, The University of Manchester, KU Leuven - Department of Development and Regeneration, University of Oxford and University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Downloads 170 (444,808)
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Keywords: machine learning, oncology, sample size, prediction model, systematic review, methodology

2.

Reporting of External Validation Studies Needs Improvement: A Systematic Review of Reporting in Oncology Prediction Model Studies

Number of pages: 43 Posted: 23 Mar 2026
Rebecca Whittle, Amardeep Legha, Biruk Tsegaye, Joie Ensor, Kym I. E. Snell, Lucinda Archer, Mohammed Hudda, Richard Riley, Paula Dhiman and Gary S. Collins
University of Birmingham, University of Birmingham, University of Oxford, University of Birmingham, University of Birmingham, University of Birmingham, Dasman Diabetes Institute (DDI), University of Birmingham, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) and University of Birmingham
Downloads 77 (867,774)

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Clinical prediction model, External validation, Oncology, TRIPOD, Reporting quality, Systematic review, Model performance, calibration, Reproducibility