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Modelling the growth domain of Clostridium botulinum via kernel survival analysis

机译:通过核存活分析模拟肉毒梭菌的生长域

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Clostridium botulinum is a bacterium present in the raw ingredients of many foods. It produces a powerful neurotoxin as part of its growth process, that can prove fatal when doses as small as 30ng are consumed. It is therefore vital to be able to accurately determine the food processing and storage conditions where toxin production is possible, known as the "growth domain". This paper describes a new approach to modelling the growth domain of microbial pathogens, by constructing a regularised kernel model relating heat treatment and subsequent incubation conditions to the parameters of a statistical distribution modelling the probability of growth as a function of incubation time. We demonstrate that the use of the "kernel trick" permits the extension of methods from classical survival analysis to account for non-linear dependencies in a principled manner.
机译:肉毒梭菌是许多食物的原料中存在的细菌。它在生长过程中会产生强大的神经毒素,当摄入低至30ng的剂量时可能致命。因此,至关重要的是能够准确地确定可能产生毒素的食品加工和储存条件,即所谓的“生长域”。本文描述了一种通过建立规则化的核模型来对微生物病原体的生长域建模的新方法,该模型将热处理和随后的孵育条件与统计分布的参数相关联,该统计模型对生长概率随孵育时间的变化进行了建模。我们证明“内核技巧”的使用允许将方法从经典生存分析扩展到以有原则的方式解释非线性依赖性。

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