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.
Pulmonology Advisor

New Model Could Predict Risk of Critical Illness in CTD-ILD

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
The New York Times

U.S. Forest Service to Open Millions of Acres to Off-Road Vehicles, Memo Shows

The forthcoming order echoes President Trump’s decision to repeal executive orders that have protected other public lands from vehicles for decades. By Lisa Friedman Reporting from Washington The ...
Scientific Research Publishing

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
Scientific Research Publishing

Fatima, S., Hussain, A., Amir, S.B., Ahmed, S.H. and Aslam, S.M.H. (2023) XGBoost and Random Forest Algorithms: An in Depth Analysis. Pakistan Journal of Scientific Research, 3 ...

ABSTRACT: Bipolar depression with comorbid obsessive-compulsive disorder (OCD) presents a significant clinical challenge due to its complex symptomatology, unpredictable treatment responses, and high ...
IEEE

A Random Forest Algorithm for PCB SMD Defect Detection

Abstract: A printed circuit board (PCB) surface-mounted devices (SMDs) defect detection algorithm based on random forest (RF) was proposed to detect pin defects, resistor defects, and capacitor ...
IEEE

Load Forecasting Using Random Forest Regression Algorithm in Machine Learning

Abstract: Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this ...