The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Breakthrough in AI-Powered Insurance Fraud Detection: New Study Shows Hybrid Models Cut Losses and Boost Accuracy

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
IEEE

Learning and Application of Different Machine Learning Methods (KNN, SVM, Decision Tree) in Different Datasets

With the continuous development of artificial intelligence, machine learning has shown great ability in classification and regression problems. For example, logistic regression, SVM methods, and ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
GitHub

ML Algorithm Selector GUI

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
Scientific Research Publishing

Quinlan, J.R. (1986) Induction of Decision Tree. Machine Learning, 1, 81-106.

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...
Scientific Research Publishing

Azam, Z., Islam, M.M. and Huda, M.N. (2023) Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree. IEEE Access, 11 ...

ABSTRACT: Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To ...