Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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
Supplementary Material of: “Prognosis of dementia with machine learning and microssimulation techniques: a systematic literature review”.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0002-6752-017X
2016 (English)Other (Other academic)
Description
Abstract [en]

 This document contains the supplementary material regarding the systematic literature review entitled: “Prognosis of dementia with machine learning and microssimulation techniques: a systematic literature review”.

Place, publisher, year, pages
2016.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-11793OAI: oai:DiVA.org:bth-11793DiVA: diva2:916722
Available from: 2016-04-04 Created: 2016-04-04 Last updated: 2017-01-09Bibliographically approved

Open Access in DiVA

attachment(107 kB)107 downloads
File information
File name ATTACHMENT01.pdfFile size 107 kBChecksum SHA-512
37da522900983faa5be7bca850f1ff09f5bc85572c4b67358fa32c0472c47145d04060509f65e104b0b721e9eaba3841a2d79d5b99a61801f3e3a63d91241aec
Type attachmentMimetype application/pdf

Search in DiVA

By author/editor
Moraes, Ana Luiza Dallora
By organisation
Department of Computer Science and Engineering
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 229 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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