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W3MAMCAT:一种基于万维网的用于乳头体和悬链线隔室建模以及专家系统可区分性的工具。

W3MAMCAT: a world wide web based tool for mammillary and catenary compartmental modeling and expert system distinguishability.

作者信息

Russell Solomon, Distefano Joseph J

机构信息

Biocybernetics Laboratory, Department of Computer Science, University of California Los Angeles UCLA, 4711K Boelter Hall, 90095-1596, USA.

出版信息

Comput Methods Programs Biomed. 2006 Jul;83(1):34-42. doi: 10.1016/j.cmpb.2006.03.007. Epub 2006 Jun 12.

Abstract

W(3)MAMCAT is a new web-based and interactive system for building and quantifying the parameters or parameter ranges of n-compartment mammillary and catenary model structures, with input and output in the first compartment, from unstructured multiexponential (sum-of-n-exponentials) models. It handles unidentifiable as well as identifiable models and, as such, provides finite parameter interval solutions for unidentifiable models, whereas direct parameter search programs typically do not. It also tutorially develops the theory of model distinguishability for same order mammillary versus catenary models, as did its desktop application predecessor MAMCAT+. This includes expert system analysis for distinguishing mammillary from catenary structures, given input and output in similarly numbered compartments. W(3)MAMCAT provides for universal deployment via the internet and enhanced application error checking. It uses supported Microsoft technologies to form an extensible application framework for maintaining a stable and easily updatable application. Most important, anybody, anywhere, is welcome to access it using Internet Explorer 6.0 over the internet for their teaching or research needs. It is available on the Biocybernetics Laboratory website at UCLA: www.biocyb.cs.ucla.edu.

摘要

W(3)MAMCAT是一个基于网络的交互式新系统,用于构建和量化n房室乳头状和链状模型结构的参数或参数范围,其输入和输出在第一房室,源自非结构化多指数(n个指数之和)模型。它能处理不可识别以及可识别的模型,因此,为不可识别的模型提供有限的参数区间解,而直接参数搜索程序通常无法做到这一点。它还像其桌面应用程序前身MAMCAT+一样,逐步阐述了同阶乳头状模型与链状模型的模型可区分性理论。这包括在编号相同的房室中给定输入和输出时,用于区分乳头状结构与链状结构的专家系统分析。W(3)MAMCAT支持通过互联网进行通用部署,并增强了应用程序错误检查。它使用受支持的微软技术形成一个可扩展的应用程序框架,以维护一个稳定且易于更新的应用程序。最重要的是,欢迎任何人在任何地方通过互联网使用Internet Explorer 6.0访问它,以满足他们的教学或研究需求。它可在加州大学洛杉矶分校的生物控制论实验室网站上获取:www.biocyb.cs.ucla.edu

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