GitHub

Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations

audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Federated Learning for Early Heart Disease Prediction using Multilayer Perceptron Models

Abstract: Heart disease continues to be a leading global health concern, and early detection is critical to improving patient outcomes. While machine learning models have shown promise in predicting ...
IEEE

A Quantum Multilayer Perceptron for Intraoperative Nociception Prediction

Abstract: Pain pathways and interpatient variability represent an ongoing challenge for nociception monitoring. Inter- and intrapatient variability require large patient data for training conventional ...