Celal Bayar University

About: Celal Bayar University is a education organization based out in Magnesia ad Sipylum, Turkey. It is known for research contribution in the topics: Population & Heat transfer. The organization has 2960 authors who have published 6024 publications receiving 100646 citations.

Pretreatment with pro- and synbiotics reduces peritonitis-induced acute lung injury in rats.

Abstract: Background:To study whether enteral pretreatment with a synbiotic composition of lactic acid bacteria and bioactive fibers can reduce peritonitis-induced lung neutrophil infiltration and tissue injury in rats.Materials and Methods:Rats were divided into five groups, and subjected to induction of per

On the Performance of Ensemble Learning for Automated Diagnosis of Breast Cancer

Abstract: The automated diagnosis of diseases with high accuracy rate is one of the most crucial problems in medical informatics. Machine learning algorithms are widely utilized for automatic detection of illnesses. Breast cancer is one of the most common cancer types in females and the second most common cause of death from cancer in females. Hence, developing an efficient classifier for automated diagnosis of breast cancer is essential to improve the chance of diagnosing the disease at the earlier stages and treating it more properly. Ensemble learning is a branch of machine learning that seeks to use multiple learning algorithms so that better predictive performance acquired. Ensemble learning is a promising field for improving the performance of base classifiers. This paper is concerned with the comparative assessment of the performance of six popular ensemble methods (Bagging, Dagging, Ada Boost, Multi Boost, Decorate, and Random Subspace) based on fourteen base learners (Bayes Net, FURIA, K-nearest Neighbors, C4.5, RIPPER, Kernel Logistic Regression, K-star, Logistic Regression, Multilayer Perceptron, Naive Bayes, Random Forest, Simple Cart, Support Vector Machine, and LMT) for automatic detection of breast cancer. The empirical results indicate that ensemble learning can improve the predictive performance of base learners on medical domain. The best results for comparative experiments are acquired with Random Subspace ensemble method. The experiments show that ensemble learning methods are appropriate methods to improve the performance of classifiers for medical diagnosis.

Interleukin-6 levels in hyperemesis gravidarum.

Abstract: Hyperemesis gravidarum (HG) is associated with higher levels of serum β-hCG levels and hyperthyroidism. Interleukin-6 (IL-6), a pro-inflammatory cytokine, is reported to enhance secretion of β-hCG from trophoblastic cell line. We measured serum levels of IL-6, thyroid hormones and β-hCG of hyperemetic patients and gestational age-matched controls to search for a difference between the two groups. There was a significant difference in β-hCG (p=0.028), though IL-6 levels were higher in the hyperemetic group, it did not reach a significant level. Interleukin-6 positively correlated with β-hCG (r=0.38 and p=0.13).

Serum tumor growth factor‐β1 levels in patients with cirrhosis, chronic hepatitis B and chronic hepatitis C

Abstract: Chronic liver disease and cirrhosis are two of the most important health problems according to current gastroenterology literature. Based on the recent developments in the field of immunology, advanced follow-up and treatment modalities have been introduced for these disorders. Immune defence against viral infections depends on effective cellular immune responses derived mainly from Th1-related cytokines. Th2 type immune responses can inhibit efficient immune function by secretion of several cytokines such as IL-10, TGF-beta1. In this particular study, we determined the serum levels of TGF-beta1, which plays a role in immune suppression and induction of tissue fibrosis. We evaluated the role of TGF-beta1 in the pathogenesis of chronic liver disease and cirrhosis. Fourteen chronic hepatitis B (CHB), 12 chronic hepatitis C (CHC) patients and 21 cirrhotic patients were enrolled in the study. The control group consisted of ten healthy people. Serum TGF-beta1 levels were higher in both cirrhosis and CHC group when compared to those in CHB and control groups (P < 0.05). Although serum TGF-beta1 levels in the cirrhosis group were higher than that in the CHC group, the difference was not statistically significant. In conclusion, elevated TGF-beta1 levels in patients with CHC and cirrhosis may have a role in the pathogenesis and chronicity of these diseases.