Predict clinical outcome
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Benchmarks
CirCor DigiScope
Most implemented
Multi-modal Graph Learning over UMLS Knowledge Graphs
Papers
Multi-modal Graph Learning over UMLS Knowledge Graphs
Clinicians are increasingly looking towards machine learning to gain insights about patient evolutions. We propose a novel approach named Multi-Modal UMLS Graph Learning (MMUGL) for learning meaningful representations of…
Graph LearningKnowledge GraphsPredict clinical outcomePhonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks
Murmurs are sounds caused by turbulent blood flow that are often the first sign of structural heart disease. These sounds are detected by auscultating the heart using a stethoscope, or more recently by a phonocardiogram …
Classify murmursPhonocardiogram ClassificationPredict clinical outcomeHeart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
Objective Cardiac auscultation is an accessible diagnostic screening tool that can help to identify patients with heart murmurs for follow-up diagnostic screening and treatment, especially in resource-constrained environ…
Classify murmursDiagnosticPredict clinical outcomeThe CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can support physicians in their decisions. Unf…
ClassificationClassify murmursDiagnosticPredict clinical outcome+1