作为疾病条件的丢弃和交互变量

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI:10.1109/NAFIPS.1999.781702

C. Helgason, T. Jobe, J. Mordeson, D. S. Malik, S. Cheng

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引用次数: 5

摘要

循证医学目前建立在基于概率的统计上，并试图推断集体到个体患者的诊断和治疗情况。本研究使用模糊测量来寻找个体患者数据的结构，并表明相互作用，因为它们在本质上作为变量存在于独特的人身上，只能通过模糊测量来捕获。如果病理学和生理学在个体患者系统中具有生物学相关性，模糊测量可能更合适，或者至少适合于医学临床研究的统计分析。

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Discarnation and interactive variables as conditions for disease

Evidence-based medicine is currently founded in probability-based statistics and attempts to extrapolate what is the case for the collective to individual patient diagnosis and treatment. This study uses fuzzy measures to find structure in individual patient data and suggests that interactions, as they exist in nature as variables that are combinatorialy represented in the unique person, are only captured by fuzzy measures. If pathology and physiology are biologically relevant in the individual patient system, fuzzy measures may be more appropriate, or at least appropriate in addition to statistical analysis for medical clinical studies.

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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

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