Medical Xpress

Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients

Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are ...
Nature

Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci

To compare the comprehensive performance of conventional logistic regression (LR) and seven machine learning (ML) algorithms in Noise-Induced Hearing Loss (NIHL) prediction, and to investigate the ...
Forbes

How To Handle Healthcare Cybersecurity Challenges With Machine Learning Algorithms

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...
Forbes

Decoding Tech Jargon: A Perplexed HR’s Guide To Algorithms, ML And AI In Talent Acquisition

As an HR or talent acquisition leader, you are leading a crucial transformation. Nearly every American corporation is now harnessing technology to enhance their hiring processes, and this shift has ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
National Academies of Sciences%2c Engineering%2c and Medicine

Implementing Machine Learning at State Departments of Transportation: A Guide

This guide adopts the high-level roadmap in Figure 1 as a framework for building agency ML capabilities, starting with an ML pilot project. The roadmap consists of 10 steps and includes a loop from ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...