Mewes, Ilona; Jenzer, Helena; Einsele, Farshideh (2021). Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes International Journal of Health and Medical Engineering, 15(1), pp. 92-95. WASET World Academy of Science, Engineering and Technology
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Objective: The objective of the study was to integrate two big databases from Swiss nutrition national survey (menuCH) and Swiss health national survey 2012 for data mining purposes. Each database has 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. Design: Swiss nutrition national survey (menuCH) with approx. 2000 respondents from two different surveys, one by Phone and the other by questionnaire along with Swiss health national survey 2012 with 21500 respondents were pre-processed, cleaned and finally integrated to a unique relational database. Results: The result of this study is an integrated relational database from the Swiss nutritional and health databases.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
Business School > Institute for Applied Data Science & Finance Business School > Institute for Applied Data Science & Finance > Applied Data Science Business School |
Name: |
Mewes, Ilona; Jenzer, Helena and Einsele, Farshideh |
Subjects: |
R Medicine > RA Public aspects of medicine R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine T Technology > T Technology (General) |
ISSN: |
1307-6892 |
Publisher: |
WASET World Academy of Science, Engineering and Technology |
Language: |
English |
Submitter: |
Farshideh Einsele |
Date Deposited: |
07 Jul 2023 10:30 |
Last Modified: |
07 Jul 2023 10:35 |
Uncontrolled Keywords: |
Health informatics, data mining, nutritional and health databases, nutritional and chronic databases |
ARBOR DOI: |
10.24451/arbor.19501 |
URI: |
https://arbor.bfh.ch/id/eprint/19501 |
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