loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Timo Lustenberger 1 ; Helena Jenzer 2 and Farshideh Einsele 1

Affiliations: 1 Section of Business Information, Bern University of Applied Sciences, Switzerland ; 2 Hospital of Psychiatry, University of Zurich, Switzerland

Keyword(s): Health Informatics, Data Mining, Nutritional and Health Databases, Nutritional and Chronical Databases, Modelling and Managing Large Data Systems, Data Management for Analytics, Large Scale Databases, Database Architecture and Performance.

Abstract: Objective: The objective of the study was to integrate a large database from Swiss nutrition national survey (menu-CH) with 5 extensive databases derived from 5 consecutive Swiss health national surveys from 1992 to 2012 for data mining purposes. Each database has additionally a demographic base data. An integrated Swiss database is built to later discover critical food consumption patterns linked with lifestyle diseases known to be strongly tied with food consumption and compare the derived rules with the rules resulted with a previous study which used a significantly smaller database. Design: Swiss nutrition national survey (menu-CH) with approx. 2000 respondents from two different surveys, one by Phone and the other by questionnaire along with Swiss health national surveys from 1992 to 2012 with over than 100000 respondents were preprocessed, cleaned, transformed and finally integrated to a unique relational database. Results: The result of this study is an integrated relational d atabase from the Swiss nutritional and 20 years of Swiss health data. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.251.194

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lustenberger, T.; Jenzer, H. and Einsele, F. (2021). Building an Integrated Relational Database from Swiss Nutrition’s (menuCH) and Multiple Swiss Health Datasets Acquired from 1992 to 2012 for Data Mining Purposes. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-521-0; ISSN 2184-285X, SciTePress, pages 150-156. DOI: 10.5220/0010512701500156

@conference{data21,
author={Timo Lustenberger. and Helena Jenzer. and Farshideh Einsele.},
title={Building an Integrated Relational Database from Swiss Nutrition’s (menuCH) and Multiple Swiss Health Datasets Acquired from 1992 to 2012 for Data Mining Purposes},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA},
year={2021},
pages={150-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010512701500156},
isbn={978-989-758-521-0},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA
TI - Building an Integrated Relational Database from Swiss Nutrition’s (menuCH) and Multiple Swiss Health Datasets Acquired from 1992 to 2012 for Data Mining Purposes
SN - 978-989-758-521-0
IS - 2184-285X
AU - Lustenberger, T.
AU - Jenzer, H.
AU - Einsele, F.
PY - 2021
SP - 150
EP - 156
DO - 10.5220/0010512701500156
PB - SciTePress