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Stepwise Information‐Filtering Tool (SIFT): A method for using risk assessment metadata in a nontraditional way
Author(s) -
Beasley Amy,
Belanger Scott E.,
Otter Ryan R.
Publication year - 2015
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1002/etc.2955
Subject(s) - ecotoxicity , metadata , computer science , scale invariant feature transform , data mining , information retrieval , data science , artificial intelligence , world wide web , chemistry , toxicity , organic chemistry , feature extraction
Tools exist to evaluate large ecotoxicity databases for risk assessment purposes, but these tools are less useful for alternative analytical purposes. In the present study, the authors developed the Stepwise Information‐Filtering Tool (SIFT), a strategic method to select relevant, reliable data from a large ecotoxicity database; demonstrated utility in a case study of chronic toxicity data for statistical endpoint comparison purposes; and evaluated SIFT by comparison with 2 existing data evaluation methods. Environ Toxicol Chem 2015;34:1436–1442. © 2015 SETAC