Models for Predicting the Development of Insulin Resistance

Thomas Forstner; Christiane Dienhart; Ludmilla Kedenko; Gernot Wölkersdorfer; Bernhard Paulweber

doi:10.5220/0006344801210125

Models for Predicting the Development of Insulin Resistance

Thomas Forstner
, Christiane Dienhart
, Ludmilla Kedenko
, Gernot Wölkersdorfer
, Bernhard Paulweber

Department of Applied Systems Research and Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

Original language	English
Title of host publication	DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat
Editors	Jorge Bernardino, Christoph Quix and Joaquim Filipe
Publisher	SciTePress-Science and Technology Publications
Pages	121-125
Number of pages	5
ISBN (Electronic)	9789897582554
ISBN (Print)	978-989-758-255-4
DOIs	https://doi.org/10.5220/0006344801210125
Publication status	Published - Jul 2017

Fields of science

102 Computer Sciences

JKU Focus areas

Computation in Informatics and Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0006344801210125

Cite this

Forstner, T., Dienhart, C., Kedenko, L., Wölkersdorfer, G., & Paulweber, B. (2017). Models for Predicting the Development of Insulin Resistance. In Jorge Bernardino, Christoph Quix and Joaquim Filipe (Ed.), DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat (pp. 121-125). SciTePress-Science and Technology Publications. https://doi.org/10.5220/0006344801210125

@inproceedings{236f96ca4ad6471d990153cfceebaf8a,

title = "Models for Predicting the Development of Insulin Resistance",

author = "Thomas Forstner and Christiane Dienhart and Ludmilla Kedenko and Gernot W{\"o}lkersdorfer and Bernhard Paulweber",

year = "2017",

month = jul,

doi = "10.5220/0006344801210125",

language = "English",

isbn = "978-989-758-255-4",

pages = "121--125",

editor = "\{Jorge Bernardino, Christoph Quix and Joaquim Filipe\}",

booktitle = "DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat",

publisher = "SciTePress-Science and Technology Publications",

}

Forstner, T, Dienhart, C, Kedenko, L, Wölkersdorfer, G & Paulweber, B 2017, Models for Predicting the Development of Insulin Resistance. in Jorge Bernardino, Christoph Quix and Joaquim Filipe (ed.), DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat. SciTePress-Science and Technology Publications, pp. 121-125. https://doi.org/10.5220/0006344801210125

Models for Predicting the Development of Insulin Resistance. / Forstner, Thomas; Dienhart, Christiane; Kedenko, Ludmilla et al.
DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat. ed. / Jorge Bernardino, Christoph Quix and Joaquim Filipe. SciTePress-Science and Technology Publications, 2017. p. 121-125.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

TY - GEN

T1 - Models for Predicting the Development of Insulin Resistance

AU - Forstner, Thomas

AU - Dienhart, Christiane

AU - Kedenko, Ludmilla

AU - Wölkersdorfer, Gernot

AU - Paulweber, Bernhard

PY - 2017/7

Y1 - 2017/7

UR - https://www.scopus.com/pages/publications/85029448939

U2 - 10.5220/0006344801210125

DO - 10.5220/0006344801210125

M3 - Conference proceedings

SN - 978-989-758-255-4

SP - 121

EP - 125

BT - DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat

A2 - Jorge Bernardino, Christoph Quix and Joaquim Filipe, null

PB - SciTePress-Science and Technology Publications

ER -

Forstner T, Dienhart C, Kedenko L, Wölkersdorfer G, Paulweber B. Models for Predicting the Development of Insulin Resistance. In Jorge Bernardino, Christoph Quix and Joaquim Filipe, editor, DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applicat. SciTePress-Science and Technology Publications. 2017. p. 121-125 doi: 10.5220/0006344801210125

Models for Predicting the Development of Insulin Resistance

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this