Improving risk grouping rules for prostate cancer patients using self-organising maps

Daniel P Schwartz, Kate Amanda Smith, Leonid Churilov, Michael J Dally, Richard Weber

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

Original language	English
Pages (from-to)	126 - 135
Number of pages	9
Journal	Frontiers in Artifical Intelligence and Applications
Volume	104
Publication status	Published - 2003

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Improving risk grouping rules for prostate cancer patients using self-organising maps",

author = "Schwartz, {Daniel P} and Smith, {Kate Amanda} and Leonid Churilov and Dally, {Michael J} and Richard Weber",

year = "2003",

language = "English",

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pages = "126 -- 135",

journal = "Frontiers in Artifical Intelligence and Applications",

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AU - Schwartz, Daniel P

AU - Smith, Kate Amanda

AU - Churilov, Leonid

AU - Dally, Michael J

AU - Weber, Richard

PY - 2003

Y1 - 2003

M3 - Article

SN - 0922-6389

VL - 104

SP - 126

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JO - Frontiers in Artifical Intelligence and Applications

JF - Frontiers in Artifical Intelligence and Applications

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