Machine learning reveals two main Parkinson's types and five subgroups

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...
IEEE

An ECG Data Feature Selection Comparison: Machine Learning and Expert Doctors

Abstract: The ECG signals analysis is a frequently used approach for classification of cardiac patients. Traditionally, this analysis is made by expert doctors. However, recently, it is increasingly ...
ahajournals.org

Abstract 4368538: Fusion Machine Learning Architectures for Improving ECG classification of acute coronary events

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...
ahajournals.org

Abstract 4369502: Identifying optimum ECG features to predict sudden cardiac arrest at varying time points before the event

Background: Prediction of sudden cardiac arrest (SCA) from the ECG is of great importance, but is complicated by the uncertainty introduced by dynamic remodeling of the ECG over time. Traditional ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Cosmology 'The chances of you living 50 years are very small': Theoretical physicist explains why humanity likely won't survive to see all the forces unified Computing New data center will be ...