Conclusions: Multiple molecular and clinicopathological variable integrated decision tree algorithms may individually predict the recurrence pattern for NPC. This decision tree algorism provides a ...

Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

BostonGene, a leader in AI-powered solutions for drug discovery and development, today announced the publication of a collaborative study*, "AI-driven multimodal algorithm predicts immunotherapy and ...

Data mining algorithm selection: decision trees The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well ...

However, Decision Trees can be prone to overfitting, which occurs when the algorithm creates a tree that's too complex and fits the training data too closely.

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.