Frontiers

Predicting Neural Activity: Understanding Brain Structure and Dynamics through Generative Modeling and Causal Analysis

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
IEEE

Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review

Abstract: Radiology reports, as a means of inter-physician and physician-to-patient communication, contain key findings and interpretations from imaging studies that guide diagnosis and treatment.
Frontiers

Machine learning models for the prediction of levodopa response to tremor in Parkinson’s disease

Objectives: To develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients. Methods: A total of 197 PD tremor patients underwent ...
IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...