A k-NN algorithm for predicting oral sub-chronic toxicity in the rat

A k-NN algorithm for predicting the oral sub-chronic toxicity in the rat.

Repeated dose toxicity is of the utmost importance to characterize the toxicological profile of a chemical after repeated administration. Its evaluation refers to the Lowest-Observed-(Adverse)-Effect-Level (LO(A)EL) explicitly requested in several regulatory contexts, such as REACH and EC Regulation 1223/2009 on cosmetic products. So far in vivo tests have been the sole viable option to assess ...

A k-NN Algorithm for Predicting Oral Sub-Chronic Toxicity in the Rat

423 A k-NN Algorithm for Predicting Oral Sub-Chronic Toxicity in the Rat Domenico Gadaleta 1,2, Fabiola Pizzo 1, Anna Lombardo 1, Angelo Carotti 2, Sylvia E. Escher 3, Orazio Nicolotti 2 and Emilio Benfenati 1 laboratory of environmental Chemistry and toxicology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy; Dipartimento di Farmacia − Scienze del Farmaco, Università degl...

assessment of the effect of honey as a topical therapy for intra oral wound healing in rat.

چکیده ندارد.

Sub-chronic Oral Toxicity Test Repeated Dose 90 - Day Oral Toxicity Study in Non-rodents

Secure K-NN Algorithm for Distributed Databases

In this paper we present an algorithm for determining k-nearest neighbor tuples for a given tuple in a set of geographically distributed databases. These databases form a vertical partitioning of some implicit global database. The computation is performed by exchanging minimum number of higher level summaries so that even if they are captured by an intruder to actual data tuples can ever be rev...