@inproceedings{18277d04a6e548cb8ce37c5fd2754156,
title = "Knowledge Discovery From Sparse Pharmacokinetic Data",
abstract = "In this research effort, we show that the following hypothesis is true: The independently verified sparse information secured from the scientific literature regarding the effects of methyl mercury on mice enables us to predict the effects of the methyl mercury on humans. The Rough Sets methodology is used in this endeavor.",
keywords = "Extrapolation, Methyl mercury effects on humans, Methyl mercury effects on mice, Rough sets, Sparse data",
author = "Hashemi, {Ray R.} and Charles Epperson and Tyler, {Alexander A.} and Young, {John F.}",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2000",
month = mar,
day = "19",
doi = "10.1145/335603.335699",
language = "American English",
isbn = "1581132409",
series = "Proceedings of the 2000 ACM symposium on Applied computing - Volume 1",
pages = "75--79",
booktitle = "Proceedings of the 2000 ACM Symposium on Applied Computing, SAC 2000",
}