ahajournals.org

Machine Learning‐Driven Prediction of Coronary Artery Disease Risk Based on UK Biobank Plasma Proteomics

Coronary artery disease (CAD) is a leading global cause of mortality, yet the predictive accuracy of conventional risk models is limited. Here, we integrate conventional risk factors, polygenic risk ...
GitHub

Probmetrics: Classification metrics and post-hoc calibration

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
IEEE

Is MPC Secure? Leveraging Neural Network Classifiers to Detect Data Leakage Vulnerabilities in MPC Implementations

Abstract: Due to the emerging privacy-protection laws and regulations (e.g. GDPR in the EU) in recent years, dozens of multi-party computation (MPC for short) protocols have been proposed and widely ...
IEEE

Certain Investigations on Classification of Amyotrophic Lateral Sclerosis

Abstract: Amyotrophic Lateral Sclerosis (ALS) is a persistently progressing neurological disease with restricted treatment choices. The advent of extensive global datasets and advanced machine ...