emjreviews.com

Machine Learning Predicts Childhood Asthma Risk from Eczema

A NEW study showed that machine learning prediction models could identify which children with early-onset eczema were most likely to develop persistent asthma and allergic rhinitis by school age.
IEEE

How Can State Space Models Enhance Machine Learning on Graphs?

Abstract: Message Passing Neural Networks are known to struggle with limited expressivity and capturing long-range dependencies. While Graph Transformers alleviate these issues with global attention ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Machine learning prediction of mass concrete temperature using random forest

Abstract: Analyzing the temperature evolution during the construction of mass concrete and establishing accurate prediction models are essential for ensuring structural quality and construction safety ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
Frontiers

Antenatal prediction of small for gestational age at birth based on four birthweight standards using machine learning algorithms

Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of machine ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
TechCrunch

Yann LeCun confirms his new ‘world model’ startup, reportedly seeks $5B+ valuation

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
GitHub

sidharth7987/Stock_Market_Prediction---Python

A powerful and practical AI/ML-driven Stock Market Prediction project built using Python. Designed for real-world usability, this project predicts next-day stock movement, performs full pipeline ...