@article{(Open Science Index):https://publications.waset.org/pdf/10011778,
	  title     = {Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes},
	  author    = {Ilona Mewes and  Helena Jenzer and  Farshideh Einsele},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Health and Medical Engineering},
	  volume    = {15},
	  number    = {1},
	  year      = {2021},
	  pages     = {92 - 95},
	  ee        = {https://publications.waset.org/pdf/10011778},
	  url   	= {https://publications.waset.org/vol/169},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 169, 2021},
	}