The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
IEEE

Optimized Heart Failure Prediction using Support Vector Machine Algorithms

Abstract: Heart failure remains a leading cause of death globally, highlighting the importance of early intervention and accurate risk assessment. This research investigates the potential of Support ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...
acm.org

Rediscovering Reinforcement Learning

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
IEEE

Variational Autoencoder-Based Multiobjective Topology Optimization of Electrical Machines Using Vector Graphics

Abstract: The increasing automation in the design process of electrical machines for vehicles generates huge amounts of data, leading to a growing interest in using machine learning for faster ...