HowNutsAreTheDutch: Personalized feedback on a national scale

Frank Blaauw, Lian van der Krieke, Elske Bos, Ando Emerencia, Bertus F. Jeronimus, Maria Schenk, Stijn De Vos, Rob Wanders, Klaas Wardenaar, Johanna T W Wigman, Marco Aiello, Peter De Jonge

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

7 Citations (Scopus)


A paradigm shift is taking place in the field of mental healthcare and patient wellbeing. Traditionally, the attempts at sustaining and enhancing wellbeing were mainly based on the comparison of the individual with the population average. Recently, attention has shifted towards a more personal, idiographic approach. Such shift calls for new solutions to get data about individuals, create personalized models of wellbeing and translating these into personalized advice. Idiographic research can be conducted on a large scale by letting people measure themselves. Repeated collection of data, for example by means of questionnaires, provides individuals feedback on and insight into their wellbeing. A way to partially automate this feedback process is by creating software that statistically analyzes, using a method known as vector autoregression, repetitive questionnaire data to determine cause-effect relationships between the measured features. In this paper we describe a means to facilitate these repetitive measurements and to partially automate the feedback process. The paper provides an overview and technical description of such automated analyses software, named Autovar, and its use in an online self-measurement platform.

Original languageEnglish
Title of host publicationExpanding the boundaries of health informatics using AI: making personalized and participatory medicine a reality
Subtitle of host publicationpapers from the AAAI Fall Symposium, technical report
Place of Publication Arlington, Virginia
PublisherAssociation for the Advancement of Artificial Intelligence
Number of pages5
ISBN (Print)9781577356936
Publication statusPublished - 2014
Externally publishedYes
Event2014 AAAI Fall Symposium - Arlington, United States
Duration: 13 Nov 201415 Nov 2014


Other2014 AAAI Fall Symposium
Country/TerritoryUnited States


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