BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...
GitHub

feature-selection

Predicting chess game outcomes using logistic regression and Elastic Net on 117k+ Lichess games. Includes full data processing, modeling pipeline, and interpretation of key predictors. Microsoft ...
IEEE

Research on Network Intrusion Detection in Random Forest Based on Pearson Feature Selection

Abstract: With the continuous escalation of cyber-attacks, improving the accuracy of network intrusion detection systems has become crucial. In this study, a new Random Forest algorithm—the Random ...
The New York Times

For 1st Time, Fires Are Biggest Threat to Forests’ Climate-Fighting Superpower

Forests play a major role pulling planet-warming carbon dioxide out of the atmosphere. As the world heats up, some forests are becoming emitters in their own right. By Sachi Kitajima Mulkey and Harry ...
Frontiers

A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest

Background: Neovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction ...
Scientific Research Publishing

Wang, H., Li, D., Li, D., Liu, C., Yang, X. and Zhu, G. (2023) Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi ...

ABSTRACT: Similarity-based prediction modeling is a common method for estimating the remaining useful life (RUL) of a machine. The present study proposes a novel similarity-based multidimensional ...
Frontiers

iAIPs: Identifying Anti-Inflammatory Peptides Using Random Forest

1 College of Information and Computer Engineering, Northeast Forestry University, Harbin, China 2 College of Electrical and Information Engineering, Quzhou University, Quzhou, China Recently, several ...