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标记血小板的曲线拟合:针对严重病理情况扩展的伽马模型

Curve fitting of labeled platelets: gamma model expanded for severe pathology.

作者信息

Golterman A F, de Vries R A, van Stuivenberg A, Gill R D

机构信息

Hospital Gelderse Vallei, Department of Internal Medicine, Bennekom, The Netherlands.

出版信息

Int J Biomed Comput. 1994 May;35(4):231-45.

PMID:8063452
Abstract

To obtain an adequate curve fitting of labeled platelets also in case of severe pathology the multiple hit model of Murphy & Francis can be used, however, with addition of fractions of n (argument of the gamma function) and expansion of the domain of n towards zero and negative values. The 'hazard rate function' provides the instantaneous death rate for a platelet that has survived up to a given time. Applied to the multiple hit function, three kinds of hazard rate will be found: for n > 1 the death rate increases with age (absent or moderate pathology); for n = 1 the death rate is independent of age (death at random); for n < 1 the death rate decreases with age (probably severe pathology).

摘要

为了即使在严重病变的情况下也能获得标记血小板的充分曲线拟合,可以使用墨菲和弗朗西斯的多重打击模型,不过,要增加n(伽马函数的自变量)的分数,并将n的定义域扩展到零和负值。“风险率函数”给出了存活到给定时间的血小板的瞬时死亡率。应用于多重打击函数时,会发现三种风险率:当n>1时,死亡率随年龄增加(无病变或病变较轻);当n = 1时,死亡率与年龄无关(随机死亡);当n<1时,死亡率随年龄降低(可能是严重病变)。

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