AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming

Abstract: Automated design of job shop scheduling rules using genetic programming as a hyper-heuristic is an emerging topic that has become more and more popular in recent years. For evolving ...
IEEE

Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization

Abstract: A new feature selection approach that is based on the integration of a genetic algorithm and particle swarm optimization is proposed. The overall accuracy of a support vector machine ...
GitHub

LEAC - Library Evolutionary Algorithms for Clustering

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...
eLife

Faroese whole genomes provide insight into ancestry and recent selection

Present-day Faroese genomes reveal ancestry, bottleneck history, and signatures of selection, and offer a foundation for understanding the genetic architecture of health and disease in this North ...
Scientific Research Publishing

Anbarasi, M., Anupriya, E. and Iyengar, S.N. (2010) Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm. International Journal of ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
Nature

A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...
Nature

Genetic feature selection algorithm as an efficient glioma grade classifier

Despite decades of investigation, brain tumors remain among the most lethal and debilitating malignancies of all forms 1. Glioma, the most common variant of brain tumors in the adult population, has ...
azoquantum

Quantum Algorithms and the Future of Precision Medicine

Accurate diagnostics form the foundation of effective medical treatment. Though highly developed, current diagnostic methods face limitations in processing the vast amount of patient-specific data ...
GitHub

PyGAD: Genetic Algorithm in Python

PyGAD is an open-source, easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch, and it can optimize both ...
C&EN

Pursuit of the Ultimate Regression Model for Samarium(III), Europium(III), and LiCl Using Laser-Induced Fluorescence, Design of Experiments, and a Genetic Algorithm for Feature ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Laser-induced fluorescence spectroscopy, Raman scattering, and partial least squares ...