Publications by authors named "I Berta"

Type 2 diabetes mellitus (T2D) presents a major health and economic burden that could be alleviated with improved early prediction and intervention. While standard risk factors have shown good predictive performance, we show that the use of blood-based DNA methylation information leads to a significant improvement in the prediction of 10-year T2D incidence risk. Previous studies have been largely constrained by linear assumptions, the use of cytosine-guanine pairs one-at-a-time and binary outcomes.

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Article Synopsis
  • Recent advances in machine learning enable better analysis of patient data to predict outcomes, particularly for cardiogenic shock (CS) in patients with acute coronary syndrome using the MIMIC III database.
  • This study focuses on improving data quality through various imputation techniques to handle missing data, comparing methods like k-nearest neighbors and Multiple Imputation by Chained Equations.
  • The final model demonstrated strong classification performance with a mean area under the curve of 0.805, suggesting the potential utility of this data processing pipeline for other predictive analytics in healthcare.
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The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, namely mathematical programming, and computer simulation. Using the hierarchical -median model, we proposed optimal locations of the stations throughout the country and within large towns.

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Aflatoxin B1-contaminated feeds and foods induce various health problems in domesticated animals and humans, including tumor development and hepatotoxicity. Aflatoxin B1 also has embryotoxic effects in different livestock species and humans. However, it is difficult to distinguish between the indirect, maternally-mediated toxic effects and the direct embryotoxicity of aflatoxin B1 in mammals.

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The resistance and durability of operating rubber gloves (PALMA) during different types of dental treatment were investigated. Six percent of the rubber gloves were found to be defective. One pair of gloves could be used 2.

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