Enabling personalized healthcare by analyzing semantic dependencies in a conceptual co-occurrence network based on a medical vocabulary

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Lahti, Lauri
dc.date.accessioned 2016-05-19T09:01:13Z
dc.date.available 2016-05-19T09:01:13Z
dc.date.issued 2016
dc.identifier.citation Lahti, Lauri. 2016. Enabling personalized healthcare by analyzing semantic dependencies in a conceptual co-occurrence network based on a medical vocabulary. International Journal of Information Technology & Computer Science (IJITCS). Volume 23, Issue no 1. 13. ISSN 2091-1610 (electronic). en
dc.identifier.issn 2091-1610 (electronic)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/20371
dc.description.abstract The amount of medical knowledge is constantly growing thus providing new hope for people having health-related problems. However a challenge is to develop flexible methods to facilitate managing and interpreting large medical knowledge entities. There is a need to enhance health literacy by developing personalized health support tools. Furthermore there is a need to assist decision-making with decision support tools. The recent and on-going changes in everyday life both on technological and societal levels (for example adoption of smart phones and personal mobile medical tracking devices, social networking, open source and open data initiatives, fast growth of accumulated medical data, need for new self-care solutions for aging European population) motivate to invest in the development of new computerized personalized methods for knowledge management of medical data for diagnosis and treatment. To enable creation of new adaptive personalized health support tools we have carried out an evaluation of semantic dependencies in a conceptual co-occurrence network covering a set of concepts of a medical vocabulary with experimental results ranging up to 2994 unique nouns, 82814 unique conceptual links and 200000 traversed link steps. en
dc.format.extent 13
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher International Journal of Information Technology & Computer Science (IJITCS). Institute of Information System & Research Center (IISRC). en
dc.relation.ispartofseries International Journal of Information Technology & Computer Science (IJITCS) en
dc.relation.ispartofseries Volume 23, Issue no 1
dc.rights © 2016 Lauri Lahti. This is the post print version of the following article: Lahti, Lauri. 2016. Enabling personalized healthcare by analyzing semantic dependencies in a conceptual co-occurrence network based on a medical vocabulary. International Journal of Information Technology & Computer Science (IJITCS). Volume 23, Issue no 1. 13. ISSN 2091-1610 (electronic), which has been published in final form at http://ijitcs.com/volume%2023_No_1/Lauri+Lahti.php. en
dc.subject.other Computer science en
dc.subject.other Education en
dc.subject.other Medical sciences en
dc.title Enabling personalized healthcare by analyzing semantic dependencies in a conceptual co-occurrence network based on a medical vocabulary en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.rights.holder Lauri Lahti
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school School of Science en
dc.contributor.department Tietotekniikan laitos fi
dc.contributor.department Department of Computer Science en
dc.subject.keyword personalized healthcare en
dc.subject.keyword health informatics en
dc.subject.keyword patient guidance en
dc.subject.keyword conceptual network en
dc.subject.keyword the shortest path en
dc.identifier.urn URN:NBN:fi:aalto-201605182039
dc.type.dcmitype text en
dc.type.version Post print en


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