Self-learning AI generates 2026 Super Bowl picks, score prediction for Seahawks vs. Patriots

After analyzing Super Bowl LX, SportsLine AI says the Under 45.5 (-112) will hit in a tight, low-scoring matchup. SportsLine ...

AI model more accurately predicts cardiac event risk from PET scan data

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
IEEE

Explainable E-Commerce Transaction Prediction Using LightGBM and Permutation Importance

Abstract: This study develops an explainable machine learning framework for predicting e-commerce transaction volumes by integrating Light Gradient Boosting Machine (LightGBM), Permutation Feature ...
Frontiers

Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables

Introduction: Accurate prediction of disease progression in multiple sclerosis (MS) remains a critical challenge in clinical management. This study investigates the utility of supervised machine ...
IEEE

Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
csis.org

Avoiding Catastrophe: The Importance of Privacy when Leveraging AI and Machine Learning for Disaster Management

In developing countries, the impact of significant events such as earthquakes, extreme weather, terrorist attacks, cyber incidents, or health emergencies can be more pronounced given the lack of ...
ahajournals.org

Abstract 4369483: Phenotype Based Machine Learning Approach for Enhancing Long Term Cardiovascular Disease Mortality Risk Stratification in Obstructive Sleep Apnea: A ...

Background: Obstructive sleep apnea (OSA) affects about 25% of middle-aged adults and more than doubles cardiovascular disease (CVD) mortality via sympathetic activation, oxidative stress, and ...
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
C&EN

A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...