Table 5 Predictive modeling tools
From: Survey on clinical prediction models for diabetes prediction
Predictive modeling tools | ||
|---|---|---|
Risk groupers | These tools are best used for | Acturial |
Underwriting | ||
Profiling perspectives | ||
Statistical models | These tools require lots of historical data | Linear regression |
Logistic regression | ||
Anova | ||
Time series | ||
Trees | ||
Non-linear regression | ||
Survival analysis | ||
Artificial intelligence models | These are new methods | Fuzzy logic |
Neural networks | ||
Genetic algorithm | ||
Nearest neighbor pairing | ||
Conjugate gradient | ||
Rule induction | ||
Principal component analysis | ||
Simulated annealing | ||
Kohonen network | ||