A Matlab Tool for Organizing and Analyzing NHANES Data

Simon Lebech Cichosz; Morten Hasselstrøm Jensen; Thomas Kronborg Larsen; Ole Hejlesen

doi:10.3233/SHTI200351

A Matlab Tool for Organizing and Analyzing NHANES Data

Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Thomas Kronborg Larsen, Ole Hejlesen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (Scopus)

46 Downloads (Pure)

Abstract

Automation of organizing and analyzing NHANES data can provide easier access to data and potentially reducing risk of introducing bias. This study investigates the potential for developing a software for this purpose. MATLAB R2016b was used for transforming and analyzing data from the NHANES. The software was tested successful by analyzing the association between smoking and glucose metabolism in the general population.

Original language	English
Title of host publication	Digital Personalized Health and Medicine
Number of pages	2
Volume	270
Publisher	IOS Press
Publication date	16 Jun 2020
Pages	1179-1180
ISBN (Print)	978-1-64368-082-8
ISBN (Electronic)	978-1-64368-083-5
DOIs	https://doi.org/10.3233/SHTI200351
Publication status	Published - 16 Jun 2020
Event	Medical Informatics Europe Conference (MIE) - Geneve, Switzerland Duration: 28 Apr 2019 → 1 May 2019 Conference number: 30

Conference

Conference	Medical Informatics Europe Conference (MIE)
Number	30
Country/Territory	Switzerland
City	Geneve
Period	28/04/2019 → 01/05/2019

Series	Studies in Health Technology and Informatics
Volume	270
ISSN	0926-9630

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10.3233/SHTI200351Licence: CC BY-NC 4.0

Open Access articleFinal published version, 142 KBLicence: CC BY-NC 4.0

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title = "A Matlab Tool for Organizing and Analyzing NHANES Data",

abstract = "Automation of organizing and analyzing NHANES data can provide easier access to data and potentially reducing risk of introducing bias. This study investigates the potential for developing a software for this purpose. MATLAB R2016b was used for transforming and analyzing data from the NHANES. The software was tested successful by analyzing the association between smoking and glucose metabolism in the general population.",

author = "Cichosz, {Simon Lebech} and Jensen, {Morten Hasselstr{\o}m} and Larsen, {Thomas Kronborg} and Ole Hejlesen",

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doi = "10.3233/SHTI200351",

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publisher = "IOS Press",

pages = "1179--1180",

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note = "Medical Informatics Europe Conference (MIE), MIE ; Conference date: 28-04-2019 Through 01-05-2019",

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A Matlab Tool for Organizing and Analyzing NHANES Data. / Cichosz, Simon Lebech ; Jensen, Morten Hasselstrøm ; Larsen, Thomas Kronborg et al.
Digital Personalized Health and Medicine. Vol. 270 IOS Press, 2020. p. 1179-1180 (Studies in Health Technology and Informatics , Vol. 270).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Larsen, Thomas Kronborg

AU - Hejlesen, Ole

N1 - Conference code: 30

PY - 2020/6/16

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AB - Automation of organizing and analyzing NHANES data can provide easier access to data and potentially reducing risk of introducing bias. This study investigates the potential for developing a software for this purpose. MATLAB R2016b was used for transforming and analyzing data from the NHANES. The software was tested successful by analyzing the association between smoking and glucose metabolism in the general population.

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DO - 10.3233/SHTI200351

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SN - 978-1-64368-082-8

VL - 270

T3 - Studies in Health Technology and Informatics

SP - 1179

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BT - Digital Personalized Health and Medicine

PB - IOS Press

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ER -

A Matlab Tool for Organizing and Analyzing NHANES Data

Abstract

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