Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models

Jonathan M. Garibaldi; Shang Ming Zhou; Xiao Ying Wang; Robert I. John; Ian O. Ellis

doi:10.1016/j.jbi.2011.12.007

Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models

Jonathan M. Garibaldi, Shang Ming Zhou^*, Xiao Ying Wang, Robert I. John, Ian O. Ellis

^*Corresponding author for this work

School of Nursing and Midwifery

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

Original language	English
Pages (from-to)	447-459
Number of pages	0
Journal	Journal of Biomedical Informatics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1016/j.jbi.2011.12.007
Publication status	Published - Jun 2012

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

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10.1016/j.jbi.2011.12.007

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Cite this

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title = "Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models",

author = "Garibaldi, {Jonathan M.} and Zhou, {Shang Ming} and Wang, {Xiao Ying} and John, {Robert I.} and Ellis, {Ian O.}",

year = "2012",

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doi = "10.1016/j.jbi.2011.12.007",

language = "English",

volume = "45",

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journal = "Journal of Biomedical Informatics",

issn = "1532-0464",

publisher = "Academic Press Inc.",

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T1 - Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models

AU - Garibaldi, Jonathan M.

AU - Zhou, Shang Ming

AU - Wang, Xiao Ying

AU - John, Robert I.

AU - Ellis, Ian O.

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DO - 10.1016/j.jbi.2011.12.007

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EP - 459

JO - Journal of Biomedical Informatics

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