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[{"key": "dc.contributor.advisor", "value": "Kollanus, Sami", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Heikkil\u00e4, Arttu", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2018-01-15T13:22:48Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2018-01-15T13:22:48Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2017", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/56741", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Mielenterveyden h\u00e4iri\u00f6iden m\u00e4\u00e4r\u00e4 ja taloudellinen taakka on kasvanut\nviimeisten vuosikymmenien aikana merkitt\u00e4v\u00e4sti. Maailmanlaajuisesti\nmasennuksesta k\u00e4rsii yli 300 miljoonaa ihmist\u00e4, ja mielenterveyden h\u00e4iri\u00f6iden\nkustannukset ovat maailmanlaajuisesti noin 2,5 biljoonaa USA:n dollaria. Sek\u00e4\nm\u00e4\u00e4r\u00e4\u00e4 ett\u00e4 kustannuksia voidaan v\u00e4hent\u00e4\u00e4 ennakoivilla toimenpiteill\u00e4.\nIhmisille ei ole tyypillist\u00e4 kiinnitt\u00e4\u00e4 merkitt\u00e4v\u00e4\u00e4 huomiota mielenterveyteens\u00e4\nnormaalin terveyden tavalla. Siksi on t\u00e4rke\u00e4 havaita ja rohkaista ihmisi\u00e4 kliinisiin\ntutkimuksiin hyviss\u00e4 ajoin, ennen kuin ongelma etenee pidemm\u00e4lle. T\u00e4ss\u00e4\nkirjallisuuskatsauksessa kartoitin sit\u00e4, miten sosiaalista mediaa voidaan k\u00e4ytt\u00e4\u00e4\nennakoivana alustana. T\u00e4m\u00e4 suoritetaan usein teko\u00e4lyteknologioita hy\u00f6dynt\u00e4en\nanalysoimalla ihmisten tekemi\u00e4 julkaisuja, ja niist\u00e4 mahdollisia merkkej\u00e4 tai\noireita l\u00f6yt\u00e4m\u00e4ll\u00e4. Aikaisemmissa tutkimuksissa on p\u00e4\u00e4sty merkitt\u00e4viin\ntuloksiin analysoimalla sosiaalisesta mediasta haettua teksti- tai kuvadataa, tai\nanalysoimalla muuta toimintaa sosiaalisissa verkostoissa. T\u00e4m\u00e4 tapahtuu usein\nyhdist\u00e4m\u00e4ll\u00e4 useita eri muuttujia, liittyen tehtyihin julkaisuihin. N\u00e4it\u00e4 muuttujia\novat esimerkiksi kielen k\u00e4ytt\u00f6, julkaisujen tiheys ja ajankohta, saadut kommentit\ntai julkaistujen kuvien eri ominaisuudet. Teko\u00e4lyteknologioita hy\u00f6dynt\u00e4en\nihmisten tekemist\u00e4 julkaisuista voidaan p\u00e4\u00e4tell\u00e4 merkitt\u00e4v\u00e4n tarkasti, k\u00e4rsiik\u00f6\nhenkil\u00f6 potentiaalisesti piilev\u00e4st\u00e4 mielenterveyden h\u00e4iri\u00f6st\u00e4, tai onko h\u00e4n\ntulevaisuudessa potentiaalinen uhri mielenterveysongelmille. T\u00e4m\u00e4n kaltaisia\nanalyysin tuloksia voi hy\u00f6dynt\u00e4\u00e4 monella tavalla ohjaamaan ja rohkaisemaan\nk\u00e4ytt\u00e4j\u00e4\u00e4 kliinisiin tutkimuksiin.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Mental disorders in general are a great burden to society when considering the\namount and costs of different mental disorders. Globally, over 300 million people\nare affected by depression, and the costs of different mental disorders are estimated\nto have been around 2.5 trillion US dollars. Both the costs, and the amount\nof people affected can be lowered with pre-emptive measures. It is not typical for\ngenerally healthy people to give great notice to their mental health. That is why\nit is important to notice these disorders, and encourage people to seek medical\nassistance, before the problem escalates any further. In this literature review I\ntook a look on how social media can be used as a platform to early screening.\nThis is done by using different artificial intelligence technologies to analyze posts\nmade by people, and search for signs and symptoms. Previous researchers have\nfound great success in this by analyzing text or image data. Researches have also\nanalyzed other activities in social networking sites, such as networking or other\ninteractions between users. All this is usually done by combining different kind\nof variables from posts. These variables include for example linguistic factors,\nfrequency and timestamp of posts, received comments and different characteristics\nof a published image. Using machine learning, it is possible to detect depressive\nbehavior or other potential mental disorders, to a significant accuracy. The\nresults of these kind of analysis\u2019s can be used in various ways to encourage the\nuser to seek medical assistance.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Arttu Heikkil\u00e4 (arilheik) on 2018-01-15 13:22:47.387408. Form: Kandidaatintutkielma -lomake (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/kandin-tutkielma-lomake). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2018-01-15T13:22:48Z\nNo. of bitstreams: 2\nURN:NBN:fi:jyu-201801151195.pdf: 519659 bytes, checksum: a2d7c278ff34de914a30e8cabfe6b483 (MD5)\nlicense.html: 4860 bytes, checksum: 7049206072be6b329696810b25e33214 (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2018-01-15T13:22:48Z (GMT). No. of bitstreams: 2\nURN:NBN:fi:jyu-201801151195.pdf: 519659 bytes, checksum: a2d7c278ff34de914a30e8cabfe6b483 (MD5)\nlicense.html: 4860 bytes, checksum: 7049206072be6b329696810b25e33214 (MD5)\n Previous issue date: 2017", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "30", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "luonnollisen kielen prosessointi", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "mielenterveyden h\u00e4iri\u00f6t", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "masennus", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tekstianalytiikka", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Kognitiivisten teknologioiden hy\u00f6dynt\u00e4minen mielenterveyden h\u00e4iri\u00f6iden havaitsemisessa sosiaalisessa mediassa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201801151195", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatintutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.date.updated", "value": "2018-01-15T13:22:48Z", "language": null, "element": "date", "qualifier": "updated", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": "fi", "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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