The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques (Supplemental Material)

Name: The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques (Supplemental Material)
Creator: Sydney Grant
Published: 2025-07-08T07:33:42.890Z
Keywords: Dermatology, Oncology, Machine Learning, Melanoma, Medical Dermatology

Grant, Sydney; Andrew, Tom; Mullin, Sarah; Podlipnik, Sebastian; Puig, Susana; McArthur, Grant; Cannioto, Rikki; Attwood, Kristopher; Skitzki, Joseph; Lovat, Penny; Paragh, Gyorgy

doi:10.17632/ftmspkybmw.1

The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques (Supplemental Material)

Published: 8 July 2025| Version 1 | DOI: 10.17632/ftmspkybmw.1

Contributors:

Sydney Grant, Tom Andrew, Sarah Mullin, Sebastian Podlipnik, Susana Puig, Grant McArthur, Rikki Cannioto, Kristopher Attwood, Joseph Skitzki, Penny Lovat, Gyorgy Paragh

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Supplemental Material regarding manuscript "The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques" for publication in the Journal of the American Academy of Dermatology.

The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques (Supplemental Material)

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