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[{"key": "dc.contributor.advisor", "value": "Neittaanm\u00e4ki, Pekka", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Riipinen, Tommi", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2018-11-30T11:59:13Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2018-11-30T11:59:13Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2018", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/60408", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Eksponentiaalisesti kasvavan datamassan, kasvaneen laskentatehon ja jatkuvasti kehittyvien algoritmien ansiosta koneoppimismenetelmien hy\u00f6typotentiaali lis\u00e4\u00e4ntyy jatkuvasti l\u00e4\u00e4ketieteellisen p\u00e4\u00e4t\u00f6ksenteon tukena. Koneoppimismenetelmi\u00e4 onkin k\u00e4ytetty jo laajasti teollisuuden ja liike-el\u00e4m\u00e4n sovellutuksissa, mutta kliininen konteksti asettaa sen metodeille omat ainutlaatuiset haasteensa. T\u00e4ss\u00e4 tutkimuksessa tutustutaan kirjallisuuskatsauksen keinoin koneoppimisen hy\u00f6dynt\u00e4misen nykytilaan kliinisen p\u00e4\u00e4t\u00f6ksenteon tukena. Aluksi kirjallisuuskatsauksessa m\u00e4\u00e4ritell\u00e4\u00e4n keskeiset k\u00e4sitteet. T\u00e4m\u00e4n j\u00e4lkeen esitell\u00e4\u00e4n k\u00e4ytt\u00f6tapauksia, joissa koneoppimismenetelmi\u00e4 on onnistuneesti sovellettu kliinisen diagnostiikan tukena. T\u00e4m\u00e4n j\u00e4lkeen perehdyt\u00e4\u00e4n osittain ainutlaatuisiin ongelmiin, joita teko\u00e4lymetodien ja koneoppimistekniikoiden k\u00e4ytt\u00f6 tuo mukanaan l\u00e4\u00e4ketieteellisess\u00e4 ymp\u00e4rist\u00f6ss\u00e4. Lopuksi hahmotellaan tutkimuskirjallisuudesta kehityssuuntia koneoppimismenetelmien k\u00e4yt\u00f6ss\u00e4 koskien l\u00e4\u00e4ketieteellist\u00e4 diagnostiikkaa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Possible beneficial use cases of machine learning methods are ever growing due to data mass that is growing exponentially, growth in computational power and the constant development of algorithms. Machine learning methods have already been in use widely in the fields of industry and business, but the clinical context presents unique challenges for usage of computer aided decision-making. At first in the literary review, we define key concepts. After this, we present use cases where machine learning algorithms have been successfully applied to support clinical diagnostics. Then we present the unique problems related to the use of artificial intelligence and machine learning methods in the medicinal field. In the end, we present some ways that the usage of machine learning methods in support of clinical decision-making is changing in the future.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2018-11-30T11:59:13Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2018-11-30T11:59:13Z (GMT). No. of bitstreams: 0\n Previous issue date: 2018", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "24", "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.title", "value": "Koneoppimisen mahdollisuudet l\u00e4\u00e4ketieteellisess\u00e4 diagnostiikassa", "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-201811304955", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "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": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"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": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "l\u00e4\u00e4ketiede", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "p\u00e4\u00e4t\u00f6ksentukij\u00e4rjestelm\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "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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