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    A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence
    (Frontiers Media Sa, 2024) Atay, Feyza Firat; Yagin, Fatma Hilal; Colak, Cemil; Elkiran, Emin Tamer; Mansuri, Nasrin; Ahmad, Fuzail; Ardigo, Luca Paolo
    Background Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrence rate of about 20%, necessitating better predictive methods for patient management. This study aims to create a relational classification model to predict DTC recurrence by integrating clinical, pathological, and follow-up data.Methods The balanced dataset comprises 550 DTC samples collected over 15 years, featuring 13 clinicopathological variables. To address the class imbalance in recurrence status, the Synthetic Minority Over-sampling Technique for Nominal and Continuous (SMOTE-NC) was utilized. A hybrid model combining classification algorithms with association rule mining was developed. Two relational classification approaches, regularized class association rules (RCAR) and classification based on association rules (CBAR), were implemented. Binomial logistic regression analyzed independent predictors of recurrence. Model performance was assessed through accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score.Results The RCAR model demonstrated superior performance over the CBAR model, achieving accuracy, sensitivity, and F1 score of 96.7%, 93.1%, and 96.7%, respectively. Association rules highlighted that papillary pathology with an incomplete response strongly predicted recurrence. The combination of incomplete response and lymphadenopathy was also a significant predictor. Conversely, the absence of adenopathy and complete response to treatment were linked to freedom from recurrence. Incomplete structural response was identified as a critical predictor of recurrence risk, even with other low-recurrence conditions.Conclusion This study introduces a robust and interpretable predictive model that enhances personalized medicine in thyroid cancer care. The model effectively identifies high-risk individuals, allowing for tailored follow-up strategies that could improve patient outcomes and optimize resource allocation in DTC management.
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    Factors Affecting eGFR Slope of Renal Transplant Patients During the First 2 Years
    (Elsevier Science Inc, 2019) Atay, Feyza Firat; Taskapan, Hulya; Berktas, Bayram; Yildirim, Okan; Dogan, Murat; Piskin, Turgut
    Purpose. In healthy individuals, glomerular filtration rate decreases by 1 mL/min/y after a peak level of 125.0 mL/min has been reached in adulthood. Any reduction greater than this is a progressive slope (slope more negative than 1 mL/min/y, stable [-1 to +1]), or an improvable slope if it shows more of an increase, that is, greater than +1.0 mL/min/y). The aim of the study was to determine the factors affecting estimated glomerular filtration rate (eGFR) slope during the first 2 years of renal transplant in patients with negative pretransplant panel-reactive antibody. Materials and Methods. The characteristics of 59 renal transplant patients, such as age, sex, etiology, and 2 years of laboratory data, were collected retrospectively. For each patient, the eGFR decline rate (slope) (mL/min-1/1.73 m(2)-1/y-1) was determined by linear regression analysis using all calculated eGFR values over the study period. Findings. Of 59 patients, 7 (11.8%) had a progressive slope, 22 (37.2%) had a stable slope, and 30 (50.8%) had an improvable slope. The first-year mean tacrolimus level was lower in patients with progressive slope than in the patients with stable slope and improvable slope (P < .022). The determinants of eGFR slope in multiple regression analysis were post-transplant hypertension (beta = 0.393; P = .002) and the first-year mean tacrolimus level (beta = 0.320; P =.01), whereas age, serum albumin, and 2-year mean tacrolimus level did not reach the level of significance. Conclusion. Keeping tacrolimus levels high in the first year to prevent eGFR declining is important.
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    Frequency of lysosomal acid lipase deficiency in patients with primary hyperlipidemia
    (2019) Evren, Bahri; Bilgic, Yılmaz; Atay, Feyza Firat; Nuransoy Cengiz , Ayse; Cagin, Yasir Furkan
    Abstract: The aim of our study was to investigate the prevalence of LAL (lysosomal acid lipase) deficiency in patients with primary hyperlipidemia. Twenty-four patients with primary hyperlipidemia were included in the study. The gender, age, height, weight, body mass index and waist circumference of the patients were recorded. Lipid profiles, glucose, transaminases and LAL enzyme profiles were evaluated. LAL enzyme deficiency was not detected in patients with primary hyperlipidemia. In our study, when we investigated LAL deficiency in primary hyperlipidemic patients, we could not find a relationship between them. As a result of our study, LAL deficiency was not detected in patients with primary hyperlipidemia. However, in this context, there is a need to work with a large number of patients.