All Stories

  1. Ischemia targeted coronary revascularization improves 5-year survival following carotid endarterectomy
  2. Identification of Volatile Markers of Colorectal Cancer from Tumor Tissues Using Volatilomic Approach
  3. Autoimmune gastritis serological biomarkers in gastric cancer patients
  4. Volatile Markers for Cancer in Exhaled Breath—Could They Be the Signature of the Gut Microbiota?
  5. The Association of Circulating L-Carnitine, γ-Butyrobetaine and Trimethylamine N-Oxide Levels with Gastric Cancer
  6. Assessing the utility of pepsinogens and gastrin-17 in gastric cancer detection
  7. Liquid Biopsy — A Novel Diagnostic Tool for Management of Early-Stage Peripheral Lung Cancer
  8. Classification with LSTM Networks in User Behaviour Analytics with Unbalanced Environment
  9. Clinicopathological characteristics of Epstein-Barr virus-positive gastric cancer in Latvia
  10. Multicentric randomised study of Helicobacter pylori eradication and pepsinogen testing for prevention of gastric cancer mortality: the GISTAR study
  11. Detection of gastric atrophy by circulating pepsinogens: A comparison of three assays
  12. Entropy-Based Classifier Enhancement to Handle Imbalanced Class Problem
  13. Breath testing as potential colorectal cancer screening tool
  14. Gastric Cancer Risk Analysis in Unhealthy Habits Data with Classification Algorithms
  15. Research on clinical decision support systems development for atrophic gastritis screening
  16. Risk prediction system for pharmacological problems
  17. A Comparative Analysis of Short Time Series Processing Methods
  18. Research on Application of Data Mining Methods to Diagnosing Gastric Cancer
  19. Intelligent Agent Technology in Modern Production and Trade Management
  20. Processing Short Time Series with Data Mining Methods
  21. Combining clustering and a decision tree classifier in a forecasting task
  22. Analysis of Short Time Series in Gene Expression Tasks
  23. Demand Forecasting Based on the Set of Short Time Series
  24. Time-Series Data Mining for E-Service Application Analysis