Interpretation of health-related expressions and dialogues: enabling personalized care with contextual measuring and machine learning

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Lahti, Lauri
dc.date.accessioned 2018-01-02T10:02:15Z
dc.date.available 2018-01-02T10:02:15Z
dc.date.issued 2017
dc.identifier.citation Lahti, Lauri. 2017. Interpretation of health-related expressions and dialogues: enabling personalized care with contextual measuring and machine learning. International Journal of New Technology and Research (IJNTR). Volume 3, Issue 11 (November 2017). 171-179. ISSN 2454-4116 (electronic). en
dc.identifier.issn 2454-4116 (electronic)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29546
dc.description.abstract We propose a new research framework that develops a method for interpretation of health-related expressions and dialogues to enable personalized care with contextual measuring and machine learning. The new research framework is implemented with a research project that gathers from various patient groups and other population groups a broad collection of essential perspectives towards health and well-being. In experimental setups persons (for example patients, their family members and representatives of care personnel) are asked to classify a given set of expressions (linguistic statements, image materials or other stimuli) into different categories, and these categorizations are then used as input vectors for computational models. To develop the method a central task is to classify with machine learning models health-related expressions and dialogues in respect to various events, processes and persons in healthcare. Our experimental results based on a sample of context-based linguistic health data indicated fruitful possibilities for gaining classifications of essential traits of language usage, appearance and activity for persons of diverse population groups based on various scales, perspectives, background assumptions and contexts. en
dc.format.extent 171-179
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries International Journal of New Technology and Research (IJNTR) en
dc.relation.ispartofseries Volume 3, Issue 11 (November 2017)
dc.rights © 2017 Lauri Lahti. This is the post print version of the following article: Lahti, Lauri. 2017. Interpretation of health-related expressions and dialogues: enabling personalized care with contextual measuring and machine learning. International Journal of New Technology and Research (IJNTR). Volume 3, Issue 11 (November 2017). 171-179. ISSN 2454-4116 (electronic), which has been published in final form at https://www.ijntr.org/page/issues/vol/vol-3issue-11. en
dc.subject.other Computer science en
dc.subject.other Education en
dc.subject.other Medical sciences en
dc.title Interpretation of health-related expressions and dialogues: enabling personalized care with contextual measuring and machine learning 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 patient engagement en
dc.subject.keyword expression en
dc.subject.keyword dialogue en
dc.subject.keyword semantics en
dc.subject.keyword measurement en
dc.subject.keyword communication en
dc.subject.keyword artificial intelligence en
dc.identifier.urn URN:NBN:fi:aalto-201712298340
dc.type.dcmitype text en
dc.type.version Post print en


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