Publications by authors named "Irina N Kuzmicheva"
Despite considerable investigative efforts, the molecular mechanisms of postoperative delirium (POD) remain unresolved. The present investigation employs innovative methodologies for identifying potential primary and secondary metabolic markers of POD by analyzing serum metabolomic profiles utilizing the genetic algorithm and artificial neural networks. The primary metabolomic markers constitute a combination of metabolites that optimally distinguish between POD and non-POD groups of patients.
View Article and Find Full Text PDFArticle Synopsis
- * The study introduces a denoising autoencoder (DAE) to reduce noise in mass spectrometry (MS) data, improving the accuracy of bacterial strain classification.
- * The DAE combined with Random Forest classification outperforms traditional methods, making it a more effective approach for precisely identifying Bacillus species in noisy conditions.