prikaz prve stranice dokumenta Visual assessment of endemic nephropathy markers relationship
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Scientific paper - Original scientific paper
Visual assessment of endemic nephropathy markers relationship
Studies in Health Technology and Informatics, 150 (2009); 836-840. https://doi.org/10.3233/978-1-60750-044-5-836
Sonicki, Zdenko; Cvitković, Ante; Edwards, Karen L.; Miletić-Medved, Marica; Čvorišćec, Dubravka; Babuš, Vladimir; Jelaković, Bojan

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Sonicki, Z., Cvitković, A., Edwards, K. L., Miletić Medved, M., Čvorišćec, D., Babuš, V. & Jelaković, B. (2009). Visual assessment of endemic nephropathy markers relationship. Studies in Health Technology and Informatics, 150., 836-840. doi: 10.3233/978-1-60750-044-5-836

Sonicki, Zdenko, et al. "Visual assessment of endemic nephropathy markers relationship." Studies in Health Technology and Informatics, vol. 150, 2009, pp. 836-840. https://doi.org/10.3233/978-1-60750-044-5-836

Sonicki, Zdenko, Ante Cvitković, Karen L. Edwards, Marica Miletić Medved, Dubravka Čvorišćec, Vladimir Babuš and Bojan Jelaković. "Visual assessment of endemic nephropathy markers relationship." Studies in Health Technology and Informatics 150 (2009): 836-840. https://doi.org/10.3233/978-1-60750-044-5-836

Sonicki, Z., et al. (2009) 'Visual assessment of endemic nephropathy markers relationship', Studies in Health Technology and Informatics, 150, pp. 836-840. doi: 10.3233/978-1-60750-044-5-836

Sonicki Z, Cvitković A, Edwards KL, Miletić Medved M, Čvorišćec D, Babuš V, and sur.. Visual assessment of endemic nephropathy markers relationship. Studies in Health Technology and Informatics [Internet]. 2009 [cited 2024 April 28];150:836-840. doi: 10.3233/978-1-60750-044-5-836

Z. Sonicki, et al., "Visual assessment of endemic nephropathy markers relationship", Studies in Health Technology and Informatics, vol. 150, pp. 836-840, 2009. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:888636. [Accessed: 28 April 2024]

Metadata
Title (english)Visual assessment of endemic nephropathy markers relationship
AuthorZdenko Sonicki
AuthorAnte Cvitković
AuthorKaren L. Edwards
AuthorMarica Miletić-Medved
AuthorDubravka Čvorišćec
AuthorVladimir Babuš
AuthorBojan Jelaković
Author's institutionUniversity of Zagreb
School of Medicine
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Abstract (english)
The aim of this paper was to assess relationship between possible endemic nephropathy (EN) markers visually by the CoPlot methodology, and to illustrate this promising data analysis approach. From 912 screened persons in 3 Croatian endemic villages, 25 persons were diagnosed as confirmed EN patients, 371 as non-EN, and the remainder were classified as suspected of having EN, or at risk. Data on 25 confirmed EN patients were matched with appropriate non-EN examinees. All records with missing data were excluded, resulting in 35 subjects with complete data on the 13 key EN variables for CoPlot mapping. CoPlot solution met the accepted goodness of fit measure thresholds. Result showed relationship between EN markers, identifying some nearly duplicated variables, and possible outliers needing some subsequent analysis.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionAccepted version
Journal titleStudies in Health Technology and Informatics
Numberingvol. 150, pp. 836-840
p-ISSN0926-9630
DOIhttps://doi.org/10.3233/978-1-60750-044-5-836
URN:NBNurn:nbn:hr:105:888636
Publication2009
Document URLhttps://doi.org/10.3233/978-1-60750-044-5-836
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-03-28 11:24:27