Online tools for predicting melanoma survival: Including sentinel node status as a variable improves prediction accuracy

Serigne N. Lo; Alexander H.R. Varey; Mary Ann El Sharouni; Richard A. Scolyer; John F. Thompson

doi:10.1111/jdv.19524

Online tools for predicting melanoma survival: Including sentinel node status as a variable improves prediction accuracy

Serigne N. Lo, Alexander H.R. Varey, Mary Ann El Sharouni, Richard A. Scolyer, John F. Thompson

Surgery

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

2 Citations (Scopus)

Original language	English
Pages (from-to)	e182-e184
Number of pages	3
Journal	Journal of the European Academy of Dermatology and Venereology
Volume	38
Issue number	2
Early online date	20 Sept 2023
DOIs	https://doi.org/10.1111/jdv.19524
Publication status	Published - Feb 2024

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10.1111/jdv.19524

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@article{cf287444ae7c4eaba2be2bb94a23c54a,

title = "Online tools for predicting melanoma survival: Including sentinel node status as a variable improves prediction accuracy",

author = "Lo, {Serigne N.} and Varey, {Alexander H.R.} and El Sharouni, {Mary Ann} and Scolyer, {Richard A.} and Thompson, {John F.}",

note = "Funding Information: SNL is supported by Melanoma Institute Australia. RAS is supported by a National Health and Medical Research Council of Australia (NHMRC) Investigator Grant (2022/GNT2018514). ",

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language = "English",

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journal = "Journal of the European Academy of Dermatology and Venereology",

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number = "2",

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T1 - Online tools for predicting melanoma survival

T2 - Including sentinel node status as a variable improves prediction accuracy

AU - Lo, Serigne N.

AU - Varey, Alexander H.R.

AU - El Sharouni, Mary Ann

AU - Scolyer, Richard A.

AU - Thompson, John F.

N1 - Funding Information: SNL is supported by Melanoma Institute Australia. RAS is supported by a National Health and Medical Research Council of Australia (NHMRC) Investigator Grant (2022/GNT2018514).

PY - 2024/2

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U2 - 10.1111/jdv.19524

DO - 10.1111/jdv.19524

M3 - Letter

C2 - 37728525

AN - SCOPUS:85174188280

SN - 0926-9959

VL - 38

SP - e182-e184

JO - Journal of the European Academy of Dermatology and Venereology

JF - Journal of the European Academy of Dermatology and Venereology

IS - 2

ER -

Online tools for predicting melanoma survival: Including sentinel node status as a variable improves prediction accuracy

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