Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...

Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...

Introduction People diagnosed with tuberculosis (TB) after death (postmortem) experience the ultimate diagnostic delay. We ...

Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

This project uses machine learning to predict whether a League of Legends team wins or loses based on in-game statistics. The project was completed as part of IBM's Introduction to Neural Networks and ...

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...