16 research outputs found

    A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival

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    Understanding breast cancer survival has proven to be a challenging problem for practitioners and researchers. Identifying the factors affecting cancer progression, their interrelationships, and their influence on patients’ long-term survival helps make timely treatment decisions. The current study addresses this problem by proposing a Tree-Augmented Bayesian Belief Network (TAN)-based data analytics methodology comprising of four steps: data acquisition and preprocessing, variable selection via Genetic Algorithm (GA), data balancing with synthetic minority over-sampling and random undersampling methods, and finally the development of the TAN model to determine the probabilistic inter-conditional dependency structure among breast cancer-related variables along with the posterior survival probabilities The proposed model is compared to well-known machine learning models. A what-if analysis has also been conducted to verify the associations among the variables in the TAN model. The relative importance of each variable has been investigated via sensitivity analysis. Finally, a decision support tool is developed to further explore the conditional dependency structure among the cancer-related factors. The results produced by the proposed methodology, namely the patientspecific posterior survival probabilities and the conditional relationships among the variables, can be used by healthcare professionals and physicians to improve the decision-making process in planning and managing breast cancer treatments. Our generic methodology can also accommodate other types of cancer and be applied to manage various medical procedures.2-s2.0-8512528369

    Acinetobacter infections: a growing threat for critically ill patients

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    There has been increasing concern regarding the rise of Acinetobacter infections in critically ill patients. We extracted information regarding the relative frequency of Acinetobacter pneumonia and bacteraemia in intensive-care-unit (ICU) patients and the antimicrobial resistance of Acinetobacter isolates from studies identified in electronic databases. Acinetobacter infections most frequently involve the respiratory tract of intubated patients and Acinetobacter pneumonia has been more common in critically ill patients in Asian (range 4–44%) and European (0–35%) hospitals than in United States hospitals (6–11%). There is also a gradient in Europe regarding the proportion of ICU-acquired pneumonias caused by Acinetobacter with low numbers in Scandinavia, and gradually rising in Central and Southern Europe. A higher proportion of Acinetobacter isolates were resistant to aminoglycosides and piperacillin/tazobactam in Asian and European countries than in the United States. The data suggest that Acinetobacter infections are a growing threat affecting a considerable proportion of critically ill patients, especially in Asia and Europe

    Acute hepatitis B virus infection in Turkey: epidemiology and genotype distribution

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    The aim of this study was to investigate the prevalence of hepatitis B virus (HBV) genotypes in Turkey. Epidemiological and clinical data for 158 patients with acute HBV infection from 22 medical centres in the period February 2001 to February 2002 were collected prospectively. HBV genotyping was based on analysis of restriction fragment length polymorphisms and nested PCR. There were 59 female and 99 male patients, with a mean age of 34.2 +/- 15.6 years. The most common probable transmission route was blood contact in 63 (41.1%) cases, but was unknown in 78 (49.4%) cases. The mean alanine aminotransferase level was 1718 +/- 1089 IU/L. Four of the 158 patients (2.5%) died because of fulminant hepatitis. One year after discharge, 11 (10.6%) of 103 cases were positive for hepatitis B surface antigen (HBsAg) and 80 (77.7%) were positive for anti-HBsAg. Genotype determination was unsuccessful in 11 cases because of a negative PCR; genotype D was found in the remaining 147 cases. The results suggested that acute HBV infection constitutes a significant health problem in Turkey and that genotype D is predominant

    Seroprevalence of hepatitis B and C virus infections and risk factors in Turkey: a fieldwork TURHEP study

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    AbstractThe present study was designed to determine the seroprevalence of hepatitis B and C virus (HBV, HCV) infections and risk factors in the Turkish general population. Participants were enrolled from urban and rural areas of the predetermined 23 EUROSTAT NUTS 2 region. A two-stage stratified sampling method was used to select participants from these regions (n = 5460; 50.9% females; mean (SD) age: 40.8 (14.7) years). Sociodemographics, clinical characteristics and risk factors were recorded at home visits. The seropositivity rates for hepatitis B surface antigen (HBsAg), anti-HCV, anti-HBs and anti-HBc total were 4.0%, 1.0%, 31.9% and 30.6%, respectively. Among HBsAg-positive cases, 94.5% were anti-HBe-positive, 70.2% were HBV-DNA-positive and 2.8% were anti-HDV total positive; 99.1% of HBV infections were of genotype D. Close contact with a hepatitis patient (OR 3.24; 95% CI 2.25–4.66; p < 0.001), living in the southeastern region (OR 2.74; 95% CI 1.7–4.45; p < 0.001), male gender (OR 1.77; 95% CI 1.28–2.46; p < 0.001), being married (OR 1.62; 95% CI 1.02–2.57; p 0.038), educational level less than high school (OR 1.53; 95% CI 1.04–2.26; p 0.03), orodental interventions (OR 1.54; 95% CI 1.01–2.35; p 0.047) and a history of non-disposable syringe use (OR 1.4; 95% CI 1.01–1.96; p 0.045) were significant determinants of HBsAg positivity. Age ≥50 years (OR 2; 95% CI 1.09–4.3; p 0.026) was the only significant predictor of anti-HCV positivity. In conclusion, our findings revealed an HBsAg positivity in 4% and anti-HCV positivity in 1% of the adult population and at least one-third of the population has been exposed to HBV infection in Turkey

    Mortality indicators in pneumococcal meningitis: therapeutic implications

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    Background: The aim of this study was to delineate mortality indicators in pneumococcal meningitis with special emphasis on therapeutic implications. Methods: This retrospective, multicenter cohort study involved a 15-year period (1998-2012). Culture-positive cases (n = 306) were included solely from 38 centers. Results: Fifty-eight patients received ceftriaxone plus vancomycin empirically. The rest were given a third-generation cephalosporin alone. Overall, 246 (79.1%) isolates were found to be penicillin-susceptible, 38 (12.2%) strains were penicillin-resistant, and 22 (7.1%) were oxacillin-resistant (without further minimum inhibitory concentration testing for penicillin). Being a critical case (odds ratio (OR) 7.089, 95% confidence interval (CI) 3.230-15.557) and age over 50 years (OR 3.908, 95% CI 1.820-8.390) were independent predictors of mortality, while infection with a penicillin-susceptible isolate (OR 0.441, 95% CI 0.195-0.996) was found to be protective. Empirical vancomycin use did not provide significant benefit (OR 2.159, 95% CI 0.949-4.912). Conclusions: Ceftriaxone alone is not adequate in the management of pneumococcal meningitis due to penicillin-resistant pneumococci, which is a major concern worldwide. Although vancomycin showed a trend towards improving the prognosis of pneumococcal meningitis, significant correlation in statistical terms could not be established in this study. Thus, further studies are needed for the optimization of pneumococcal meningitis treatment. (C) 2013 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. All rights reserved
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