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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Subject: search.filters.subject.data mining

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    Comparison of classical and clustering based reference interval calculations for Aspartate Aminotransferase, Alanine Aminotransferase and Gamma-Glutamyl Transferase in serum
    (WALTER DE GRUYTER GMBH, 2015-01-01) Cosgun, Erdal; Topcu, Deniz Ilhan; Laleli, Yahya
    Objective: There are fixed rules applied to determine the reference intervals (RIs) of the biochemical tests. However, these rules lack for identifying subgroups within the reference population. Therefore, we suggest the clustering method, which determines the sub-groups by taking the correlations between the variables into account in the RIs calculations. In our study, it is aimed to compare the results of the RIs based on the clusters analysis with the results of the conventional method. Methods: The individuals who applied Ankara Duzen Laboratory for the check-up with normal Ultra Sono Grafi (USG) in 2012-2014 and who have had Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT) and G-Glutamyl Transferase (GGT)
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    What are the predominant parameters for Down's syndrome risk estimation in first- trimester screening: a data mining study
    (WALTER DE GRUYTER GMBH, 2022-01-01) Kilercik, Mehem; Yozgat, Ihsan; Serdar, Muhittin A.; Aksungar, Fehime; Gogus, Sema; Solak, Semra; Kaya, Zelal Zuhal; Yayla, Ali Murat; Serteser, Mustafa
    Objectives: This study aimed to evaluate the effect size of each parameter used in the first trimester Down Syndrome (DS) risk analyses by using multiple regression analysis techniques. Methods: This data mining study included data of 44,260 pregnant women screened at the Acibadem Labmed laboratories from 2010 to 2019. In this study, risk was calculated using the PRISCA software on the basis of nuchal translucency (NT), crown-rump length measurement, in vitro fertilization application, diabetes mellitus, Down Syndrome story, smoking, maternal age, and the level of maternal serum biochemistry markers including pregnancy-associated plasma protein-A (PAPP-A) and free beta-human chorionic gonadotropin (hCG beta). Results: Forty-four thousand two hundred sixty risk analysis patients result data were re-investigate, and 851 (1.93\%) risk analysis results were found as positive. PAPP-A 747 (CI\%, 476-1,170) times, NT value 512 (CI\%, 343-764) times, DS story 21 times (CI\%, 6.7-63.2) and hCG beta value 7.01 (CI\%, 6.31-7.79) times affect the combined first-trimester risk analysis results. Conclusions: We have suggested that those accurate PAPP-A levels and NT levels evaluation are the most critical point of combined risk analysis and that the risk of free hCG beta levels after PAPP-A is essential as a biochemical test.