British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

New Study Reveals Powerful New Method Can Distinguish Schizophrenia from Healthy Using Brain SPECT Imaging

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Eos

Machine Learning Rediscovers Equations Governing Ocean Biogeochemistry

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.
Visual Studio Magazine

Quadratic Regression with Pseudo-Inverse Training Using C#

Quadratic regression is a machine learning technique to predict a single numeric value. It is an enhanced form of linear regression. Quadratic regression can handle datasets that have predictors with ...
Open Access Government

Basic machine learning with lessR : Easy, simple, and free

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...