Psoriaasi kaasuvate haiguste uurimine Coxi regressiooni abil

dc.contributor.advisorKolde, Raivo, juhendaja
dc.contributor.advisorHaug, Markus, juhendaja
dc.contributor.authorSild, Ami
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2024-10-02T08:13:12Z
dc.date.available2024-10-02T08:13:12Z
dc.date.issued2024
dc.description.abstractThe aim of this thesis was to find out how does the risks of comorbidities vary between psoriasis patients and non-psoriasis patients. Psoriasis is a chronic skin condition, that brings daily physical and emotional burden for those who are diagnosed with it. This disease has many comorbidities. Early treatment could significantly increase the quality of life for patients and also decrease the costs in case the disease progresses further. The data used in this research was collected by University of Tartu. It includes health data from approximately 10% of Estonian population. The comorbidities analyzed were selected based on existing research. A total of 13 comorbidities were included in the final analysis. This Master’s thesis could help doctors focus more on patients who are more likely to develop certain diseases. It could lead to changes in the treatment to prevent these comorbidities. The result of this thesis could also be used to make targeted screening tests to prevent comorbidities in psoriasis patients.
dc.identifier.urihttps://hdl.handle.net/10062/105003
dc.language.isoet
dc.publisherTartu Ülikoolet
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estoniaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/
dc.subjectTerviseandmed
dc.subjectpsoriaas
dc.subjectkalduvusskoor
dc.subjectkaasuvad haigused
dc.subjectCoxi võrdeliste riskide mudel
dc.subjectHealth data
dc.subjectpropensity score
dc.subjectcomorbidities
dc.subject.othermagistritöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticsen
dc.subject.otherinfotechnologyen
dc.titlePsoriaasi kaasuvate haiguste uurimine Coxi regressiooni abil
dc.typeThesisen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Sild_andmeteadus_2024.pdf
Size:
3.48 MB
Format:
Adobe Portable Document Format