Collecting a citizen's digital footprint for health data mining

Oguzhan Gencoglu, Heidi Similä, Harri Honko, Minna Isomursu

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)

    Abstract

    This paper describes a case study for collecting digital footprint data for the purpose of health data mining. The case study involved 20 subjects residing in Finland who were instructed to collect data from registries which they evaluated to be useful for understanding their health or health behaviour, current or past. 11 subjects were active, sending 100 data requests to 49 distinct organizations in total. Our results indicate that there are still practical challenges in collecting actionable digital footprint data. Our subjects received a total of 75 replies (reply rate of 75.0%) and 61 datasets (reception rate of 61%). Out of the received data, 44 datasets (72.1%) were delivered in paper format, 4 (6.6%) in portable document format and 13 (21.3%) in structured digital form. The time duration between the sending of the information requests and reception of a reply was 26.4 days on the average.
    Original languageEnglish
    Title of host publicationEngineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages7626 - 7629
    ISBN (Electronic)978-1-4244-9271-8, 978-1-4244-9270-1
    DOIs
    Publication statusPublished - 5 Nov 2015
    MoE publication typeA4 Article in a conference publication
    Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy
    Duration: 25 Aug 201529 Aug 2015
    Conference number: 37

    Conference

    Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Abbreviated titleEMBS
    Country/TerritoryItaly
    CityMilan
    Period25/08/1529/08/15

    Keywords

    • banking
    • data mining
    • education
    • insurance
    • medical services
    • organizations
    • portable document format

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