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.

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
IEEE

A Novel Thermal Image-Based Metal Classification System Using Machine Learning Algorithms

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
IEEE

DT-GA-FLANN: Decision Tree-Based Genetically Optimized FLANN for Missing Value Imputation and Classification

Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
Scientific Research Publishing

Using Decision Tree Classification and Principal Component Analysis to Predict Ethnicity Based on Individual Characteristics: A Case Study of Assam and Bhutan Ethnicities ()

1 Department of Computer Engineering, Northeastern University, Boston, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 3 Department of Computer Engineering, ...