Back to search

Article

­A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D

2022-03-28

Abstract excerpt

<title>Abstract</title> <p><bold>Background and objective :</bold> The diagnosis of rare diseases (RDs) is often challenging due to their rarity, variability and the high number of individual RDs, resulting in a delay in diagnosis with adverse effects for patients and healthcare systems. The development of computer assisted diagnostic decision support systems (DDSS) could help to improve these problems by support...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cda0879a-59ea-5389-bf96-831bc338d75b
DOI
10.21203/rs.3.rs-1357471/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
­A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2DDOI 10.21203/rs.3.rs-1357471/v1
Characterizing pain in patients with Fabry disease: Findings from a web-based cross-sectional survey in the USSemantic proximity
Diagnosis of Rare Diseases: A scoping review of clinical decision support systemsSemantic proximity
Anxiety and depression is common in individuals living with a rare disease: exploring the impact of pain and physical activity in UK Biobank dataSemantic proximity
Arachnoiditis: Leveraging crowdsourcing and AI in a cross-sectional study of 1,105 cases to improve identification, understanding, and treatmentSemantic proximity
Musculoskeletal Pain Phenotypes in Private Orthopedic Clinics in Mexico, Including Mixed Pain: A Multicenter Study.Semantic proximity
Pain Can’t Be Carved at the JointsSemantic proximity
Development and Validation of a Machine Learning Algorithm to Classify Lower Urinary Tract SymptomsSemantic proximity
A Biomarker-Based Framework for the Prediction of Future Chronic PainSemantic proximity
Diagnostic tests for oro-facial pain: protocol for a suite of systematic reviews and meta-analysesSemantic proximity
Prevalence and characteristics of musculoskeletal complaints: an analysis from the POpulation Level and Analysis Reporting (POLAR) databaseSemantic proximity
Disease Phenotypes in Refractory Musculoskeletal Pain Syndromes Identified by Unsupervised Machine LearningSemantic proximity
Deep learning based phenotyping of medical images improves power for gene discovery of complex diseaseSemantic proximity
Select a neighboring publication to make it the new centre.