A fuzzy causal measure of individual patient treatment response

T. Jobe, C. Helgason
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Abstract

We (2002) previously defined a necessary and sufficient causal ground to derive a formal causal ground in the unit hypercube. In addition we derived the clinical causal effect. These measures are developed from the fuzzy subset theorem as defined by Kosko (1992) and are in units of cardinality. In this paper we develop a measure of clinical efficiency K which is expressed in units of cardinality and is derived from the measures of formal causal ground and clinical causal effect. The measure of clinical efficiency was applied to 16 patients on an antiplatelet therapy. It renders a unique measure of clinical therapeutic effect for each patient. The measure of clinical efficiency developed herein can be used as an alternative to probability-based statistics to judge clinical causality.
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个体患者治疗反应的模糊因果度量
我们(2002)先前定义了一个必要和充分的因果根据,以导出单位超立方体中的形式因果根据。此外,我们还推导了临床因果效应。这些度量是从Kosko(1992)定义的模糊子集定理发展而来的,以基数为单位。在本文中,我们开发了一种临床效率K的度量,它以基数单位表示,并从形式因果基础和临床因果效应的度量中得到。对16例接受抗血小板治疗的患者进行临床疗效评价。它为每位患者提供了独特的临床治疗效果衡量标准。在此开发的临床效率测量可以作为基于概率的统计来判断临床因果关系的替代方法。
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