Tables index

From

Facing the Clinical Trial Annotation Problem on Breast Cancer: Natural Language Processing & Machine Learning Models Selection

Pablo Eliseo Reynoso-Aguirre, Pedro Flores-Pérez

Journal of Computer Sciences and Applications. 2024, 12(1), 17-24 doi:10.12691/jcsa-12-1-3
  • Table 1. ECOG-KPS scale equivalences and patients profile description
  • Table 2. CT studies distribution of cancer/breast cancer among U.S. and Non-U.S. countries
  • Table 3. KPS & ECOG data samples/features distribution
  • Table 4. Model classification performance comparison among PLS/MLP in terms of 1 R2 and MSE scores using 10-Fold Cross Validation learning framework
  • Table 5. Confusion Matrix for Classification Tasks
  • Table 6. Statistical Metrics for Classification Tasks based on Confusion Matrix
  • Table 7. Imbalance vs. RandomOverSampler KPS min classification comparisons on MNB model, TF-IDF (1,1)
  • Table 8. Imbalance vs. RandomOverSampler KPS max classification comparisons on MNB model, TF-IDF (1,1)
  • Table 9. TF-IDF vs. Count rep. (1,1) for KPS min Oversampling classification comparisons on MNB model
  • Table 10. TF-IDF vs. Count rep. (1,1) for KPSmax Oversampling classification comparisons on MNB model
  • Table 11. Text Pre Processing Comparisons for Count ngram (1,1) representation on MNB KPS min model
  • Table 12. Text Pre Processing Comparisons for Count ngram (1,1) representation on MNB KPS max model
  • Table 13. Text Pre Processing Comparisons for Count ngram representations on ML KPS min models
  • Table 14. Text Pre Processing Comparisons for Count ngram representations on ML KPS max models
  • Table 15. SVD Feature Selection Comparisons for Count ngram (1,3) representations on ML KPS min models
  • Table 16. SVD Feature Selection Comparisons for Count ngram (1,3) representations on ML KPS max models
  • Table 17. Hyper-parameters Algorithms Tuning Comparisons for Countngram (1,3) representations on ML KPSmin models
  • Table 18. Hyper-parameters Algorithms Tuning Comparisons for Count ngram (1,3) representations on ML KPSmax models
  • Table 19. Sampling Tuning Comparisons for Count ngram (1,1) representations on ML KPS min models
  • Table 20. Sampling Tuning Comparisons for Count ngram (1,1) representations on ML KPS max models
  • Table 21. Final Performance Comparisons for Count ngram (1,3) representations on ML KPS min models
  • Table 22. Final Performance Comparisons for Count ngram (1,1) representations on ML KPS max models