Ennustavat mallit terveydenhuollossa

Onnellisen elämän edellytyksenä voidaan pitää terveyden ylläpitoa. Ennustavat mallit ovat viime aikoina olleet yhä enemmän osallisena terveyteen liittyvässä tutkimuksessa ja terveydenhuollossa. Terveysriskien ehkäisemiseen pyrkivät menetelmät voivat olla esimerkiksi koneoppimista tai tilastotiedettä...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Toivanen, Ida-Maria
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Kandityö
Kieli:fin
Julkaistu: 2018
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/59925
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author Toivanen, Ida-Maria
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Toivanen, Ida-Maria Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Toivanen, Ida-Maria Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Toivanen, Ida-Maria
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description Onnellisen elämän edellytyksenä voidaan pitää terveyden ylläpitoa. Ennustavat mallit ovat viime aikoina olleet yhä enemmän osallisena terveyteen liittyvässä tutkimuksessa ja terveydenhuollossa. Terveysriskien ehkäisemiseen pyrkivät menetelmät voivat olla esimerkiksi koneoppimista tai tilastotiedettä hyödyntäviä, ja käyttää tietoaineistonaan kliinisiä, geeni- ja/tai psykososiaalisia tekijöitä. Riskien ennaltaehkäisemiseen liittyy myös ongelmia, jotka tulee ottaa huomioon muutoksia terveydenhuoltoon suunnitellessa. Leading a happy life requires one to take care of one’s own health. Recently predictive models have contributed more and more to health care systems and the research of health. To prevent health risks methods such as machine learning or statistics and data can be based on clinical, genetic and/or psychosocial factors. Still there lays problems related to prevention that cannot be disregarded but must be taken into account.
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spellingShingle Toivanen, Ida-Maria Ennustavat mallit terveydenhuollossa Tietotekniikka Mathematical Information Technology 602 terveysriskit terveydenhuolto neuroverkot regressioanalyysi
title Ennustavat mallit terveydenhuollossa
title_full Ennustavat mallit terveydenhuollossa
title_fullStr Ennustavat mallit terveydenhuollossa Ennustavat mallit terveydenhuollossa
title_full_unstemmed Ennustavat mallit terveydenhuollossa Ennustavat mallit terveydenhuollossa
title_short Ennustavat mallit terveydenhuollossa
title_sort ennustavat mallit terveydenhuollossa
title_txtP Ennustavat mallit terveydenhuollossa
topic Tietotekniikka Mathematical Information Technology 602 terveysriskit terveydenhuolto neuroverkot regressioanalyysi
topic_facet 602 Mathematical Information Technology Tietotekniikka neuroverkot regressioanalyysi terveydenhuolto terveysriskit
url https://jyx.jyu.fi/handle/123456789/59925 http://www.urn.fi/URN:NBN:fi:jyu-201810244512
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