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Marko Budišić

Biographic Data

ID10015629
NAMEMarko Budišić
GIVEN NAMESMarko
FAMILY NAMEBudišić
SIGNATUREBUDIŠIĆ M
AFFILIATIONSClarkson University
ORCID0000-0002-4992-0284
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions

    Open Access•Leon Lufkin, Marko Budišić et al.•ARTICLE•Frontiers in Public Health•2021

    Rheumatoid arthritis (RA) is a chronic autoimmune disorder that commonly manifests as destructive joint inflammation but also affects multiple other organ systems. The pathogenesis of RA is complex where a variety of factors including comorbidities, demographic, and socioeconomic variables are known to associate with RA and influence the progress of the disease. In this work, we used a Bayesian logistic regression model to quantitatively assess h…

No prominent works on this page.

  • A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions

    Open Access•Leon Lufkin, Marko Budišić et al.•ARTICLE•Frontiers in Public Health•2021

    Rheumatoid arthritis (RA) is a chronic autoimmune disorder that commonly manifests as destructive joint inflammation but also affects multiple other organ systems. The pathogenesis of RA is complex where a variety of factors including comorbidities, demographic, and socioeconomic variables are known to associate with RA and influence the progress of the disease. In this work, we used a Bayesian logistic regression model to quantitatively assess h…

Body mass index (1 work) · Categorical variable (1 work) · Computer Science (1 work) · Disease (1 work) · Environmental health (1 work) · Hepatitis C virus research (1 work) · Internal Medicine (1 work) · Logistic regression (1 work) · Machine learning (1 work) · Medicine (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae