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  Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus

Hische, M., Luis-Dominguez, O., Pfeiffer, A. F. H., Schwarz, P. E., Selbig, J., & Spranger, J. (2010). Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus. European Journal of Endocrinology, 163(4), 565-571. doi:10.1530/Eje-10-0649.

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Hische-2010-Decision trees as a.pdf (Any fulltext), 140KB
 
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 Creators:
Hische, M.1, Author           
Luis-Dominguez, O.2, Author
Pfeiffer, A. F. H.2, Author
Schwarz, P. E.2, Author
Selbig, J.1, Author           
Spranger, J.2, Author
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1BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              
2External Organizations, ou_persistent22              

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Free keywords: life-style intervention fasting plasma-glucose risk score insulin-resistance progression prevention reduction predict
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Language(s): eng - English
 Dates: 2010-08-102010
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: ISI:000281859600009
DOI: 10.1530/Eje-10-0649
ISSN: 1479-683X (Electronic) 0804-4643 (Linking)
URI: ://000281859600009 http://www.eje-online.org/content/163/4/565.full.pdf
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Title: European Journal of Endocrinology
Source Genre: Journal
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Pages: - Volume / Issue: 163 (4) Sequence Number: - Start / End Page: 565 - 571 Identifier: -