Developmental toxicity risk assessment: a rough sets approach.

Abstract:

:A rough-sets approach was applied to a data set consisting of animal study results and other compound characteristics to generate local and global (certain/possible) sets of rules for prediction of developmental toxicity in human subjects. A modified version of the rough-sets approach is proposed to allow the construction of an approximate set of rules to use for prediction in a manner similar to that of discriminant analysis. The modified rough-sets approach is superior in predictability to the original form of rough-sets methodology. In comparison to discriminant analysis, modified rough sets (approximate rules) appear to be better in overall classification, sensitivity, positive and negative predictive values. The findings were supported by applying the modified rough sets and discriminant analysis on a test data set generated from the original data set by using a resampling plan.

journal_name

Methods Inf Med

authors

Hashemi RR,Jelovsek FR,Razzaghi M

subject

Has Abstract

pub_date

1993-02-01 00:00:00

pages

47-54

issue

1

eissn

0026-1270

issn

2511-705X

pii

93010047

journal_volume

32

pub_type

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