EurekAlert!

Linking leaf traits to light: A new framework for predicting canopy optical behavior

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...
Game Rant

Lost in Random: The Eternal Die - 8 Best Cards, Ranked

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...
Frontiers

Risk prediction and clinical utility analysis of postoperative pancreatic fistula: a comparative study of multivariable logistic regression and random forest models

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Objective: Compare the performance of the Multivariable logistic ...
IEEE

Optimizing Retail Pricing Through Random Forest Regression: A Machine Learning Approach for Dynamic Pricing

Abstract: Most retailers now are implementing machine learning to achieve more effective pricing strategies. The paper objective is to find a more optimized model that can be used to predict more ...
Frontiers

Risk factors associated with severe progression of Parkinson’s disease: random forest and logistic regression models

1 Department of Neurology, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China 2 Support Centre, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China Background and aim: ...
IEEE

Advanced Detection of Malicious URLs using Machine Learning : A Comparative Analysis of SVM, Random Forest, and Logistic Regression

Abstract: With the escalating threats in the digital landscape, recognizing bad URLs has grown to be a paramount concern for ensuring cybersecurity. This research introduces an innovative approach ...