Analysis of draize eye irritation testing and its prediction by mining publicly available 2008-2014 REACH data

Altex

Volumn 33, Issue 2, 2016, Pages 123-134

  Luechtefeld, Thomas ^a   Maertens, Alexandra ^a   Russo, Daniel P ^b   Rovida, Costanza ^d   Zhu, Hao ^b,c   Hartung, Thomas ^a,d  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b USA   (United States)

^c RUTGERS UNIVERSITY   (United States)

^d UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Animal testing alternatives; Chemical safety; Dataset; In silico; Ocular toxicity

Indexed keywords

IRRITANT AGENT; DANGEROUS GOODS;

ACCURACY; ARTICLE; CLASSIFICATION; DATA MINING; DECISION TREE; DRAIZE EYE IRRITATION; EYE IRRITATION; K NEAREST NEIGHBOR; NONHUMAN; PREDICTION; ANIMAL; ANIMAL TESTING ALTERNATIVE; BIOLOGY; CHEMICALLY INDUCED; DANGEROUS GOODS; EYE INJURY; FACTUAL DATABASE; PROCEDURES; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RABBIT; TOXICITY;

ANIMAL TESTING ALTERNATIVES; ANIMALS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, FACTUAL; EYE INJURIES; HAZARDOUS SUBSTANCES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RABBITS;

EID: 84962900969     PISSN: 1868596X     EISSN: 18688551     Source Type: Journal    
DOI: 10.14573/altex.1510053     Document Type: Article

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