Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Logic-based medicine versus evidence-based medicine for modeling qualified-self health kits
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-3965-2834
2017 (English)In: Ecosystems and technology: idea generation and content model processing / [ed] Cyrus F. Nourani, Apple Academic Press, 2017, p. 183-187Chapter in book (Refereed)
Abstract [en]

Qualified-self aspects within AHA requires having emphasis on empowerment and how citizens as individuals and patients can manage their own data, in particular for self-monitoring purposes. For this management to meet reply properly to the societal grand challenge of AHA, there is the need to shift from society owning all individual health data to individuals themselves owning their data. Another aspect is that the Quantified-Self movement is still rooted mostly in wellness and even fitness, and as having various apps at their disposal. Focus is then not always just on health but on performance more in general.

Place, publisher, year, edition, pages
Apple Academic Press, 2017. p. 183-187
Keywords [en]
Ageing, Care process, Category theory, Health ontology, Lative logic, Mobile health
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-207968Scopus ID: 2-s2.0-85058612316ISBN: 9781771885089 (electronic)ISBN: 9781771885072 (print)OAI: oai:DiVA.org:umu-207968DiVA, id: diva2:1755745
Available from: 2023-05-09 Created: 2023-05-09 Last updated: 2023-05-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusPublisher's full text

Authority records

Eklund, Patrik

Search in DiVA

By author/editor
Eklund, Patrik
By organisation
Department of Computing Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 236 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf