Titre : Maladies démyélinisantes

Maladies démyélinisantes : Questions médicales fréquentes

Termes MeSH sélectionnés :

Machine Learning
{ "@context": "https://schema.org", "@graph": [ { "@type": "MedicalWebPage", "name": "Maladies démyélinisantes : Questions médicales les plus fréquentes", "headline": "Maladies démyélinisantes : Comprendre les symptômes, diagnostics et traitements", "description": "Guide complet et accessible sur les Maladies démyélinisantes : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.", "datePublished": "2024-04-09", "dateModified": "2025-04-04", "inLanguage": "fr", "medicalAudience": [ { "@type": "MedicalAudience", "name": "Grand public", "audienceType": "Patient", "healthCondition": { "@type": "MedicalCondition", "name": "Maladies démyélinisantes" }, "suggestedMinAge": 18, "suggestedGender": "unisex" }, { "@type": "MedicalAudience", "name": "Médecins", "audienceType": "Physician", "geographicArea": { "@type": "AdministrativeArea", "name": "France" } }, { "@type": "MedicalAudience", "name": "Chercheurs", "audienceType": "Researcher", "geographicArea": { "@type": "AdministrativeArea", "name": "International" } } ], "reviewedBy": { "@type": "Person", "name": "Dr Olivier Menir", "jobTitle": "Expert en Médecine", "description": "Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale", "url": "/static/pages/docteur-olivier-menir.html", "alumniOf": { "@type": "EducationalOrganization", "name": "Université Paris Descartes" } }, "isPartOf": { "@type": "MedicalWebPage", "name": "Maladies du système nerveux", "url": "https://questionsmedicales.fr/mesh/D009422", "about": { "@type": "MedicalCondition", "name": "Maladies du système nerveux", "code": { "@type": "MedicalCode", "code": "D009422", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "C10" } } }, "hasPart": [ { "@type": "MedicalWebPage", "name": "Maladie de Marchiafava-Bignami", "alternateName": "Marchiafava-Bignami Disease", "url": "https://questionsmedicales.fr/mesh/D054319", "about": { "@type": "MedicalCondition", "name": "Maladie de Marchiafava-Bignami", "code": { "@type": "MedicalCode", "code": "D054319", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "C10.314.475" } } } ], "about": { "@type": "MedicalCondition", "name": "Maladies démyélinisantes", "alternateName": "Demyelinating Diseases", "code": { "@type": "MedicalCode", "code": "D003711", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Rui Gao", "url": "https://questionsmedicales.fr/author/Rui%20Gao", "affiliation": { "@type": "Organization", "name": "The Ministry of Education, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, China." } }, { "@type": "Person", "name": "Li-Bin Wang", "url": "https://questionsmedicales.fr/author/Li-Bin%20Wang", "affiliation": { "@type": "Organization", "name": "Neurosurgery Department, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan Hospital, Shenzhen, Guangdong, China." } }, { "@type": "Person", "name": "Yuan Zhang", "url": "https://questionsmedicales.fr/author/Yuan%20Zhang", "affiliation": { "@type": "Organization", "name": "The Ministry of Education, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, China." } }, { "@type": "Person", "name": "Xing Li", "url": "https://questionsmedicales.fr/author/Xing%20Li", "affiliation": { "@type": "Organization", "name": "The Ministry of Education, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, China." } }, { "@type": "Person", "name": "Adi Vaknin-Dembinsky", "url": "https://questionsmedicales.fr/author/Adi%20Vaknin-Dembinsky", "affiliation": { "@type": "Organization", "name": "Department of Neurology, the Agnes-Ginges Center for Neurogenetics, Hadassah- Medical Center, Hebrew University, Jerusalem, Israel." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "A Review of Machine Learning and QSAR/QSPR Predictions for Complexes of Organic Molecules with Cyclodextrins.", "datePublished": "2024-07-02", "url": "https://questionsmedicales.fr/article/38999108", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/molecules29133159" } }, { "@type": "ScholarlyArticle", "name": "Development and validation of an interpretable machine learning model for predicting post-stroke epilepsy.", "datePublished": "2024-06-28", "url": "https://questionsmedicales.fr/article/38976953", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.eplepsyres.2024.107397" } }, { "@type": "ScholarlyArticle", "name": "A machine learning tool for identifying patients with newly diagnosed diabetes in primary care.", "datePublished": "2024-06-28", "url": "https://questionsmedicales.fr/article/38944562", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.pcd.2024.06.010" } }, { "@type": "ScholarlyArticle", "name": "AutoTemplate: enhancing chemical reaction datasets for machine learning applications in organic chemistry.", "datePublished": "2024-06-27", "url": "https://questionsmedicales.fr/article/38937840", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s13321-024-00869-2" } }, { "@type": "ScholarlyArticle", "name": "Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach.", "datePublished": "2024-06-26", "url": "https://questionsmedicales.fr/article/38988328", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3389/fnagi.2024.1369545" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Maladies du système nerveux", "item": "https://questionsmedicales.fr/mesh/D009422" }, { "@type": "ListItem", "position": 3, "name": "Maladies démyélinisantes", "item": "https://questionsmedicales.fr/mesh/D003711" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Maladies démyélinisantes - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Maladies démyélinisantes", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-09", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Maladies démyélinisantes", "description": "Comment diagnostique-t-on une maladie démyélinisante ?\nQuels tests sont utilisés pour confirmer le diagnostic ?\nLes symptômes peuvent-ils varier selon les patients ?\nQuel rôle joue l'historique médical dans le diagnostic ?\nPeut-on diagnostiquer une maladie démyélinisante par exclusion ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Maladies démyélinisantes", "description": "Quels sont les symptômes courants des maladies démyélinisantes ?\nLa douleur est-elle un symptôme fréquent ?\nLes symptômes peuvent-ils apparaître par poussées ?\nY a-t-il des symptômes cognitifs associés ?\nLes symptômes sont-ils réversibles ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Maladies démyélinisantes", "description": "Peut-on prévenir les maladies démyélinisantes ?\nLe tabagisme influence-t-il le risque ?\nL'alimentation joue-t-elle un rôle ?\nL'exercice physique est-il bénéfique ?\nLes vaccinations ont-elles un impact ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Maladies démyélinisantes", "description": "Quels traitements sont disponibles pour ces maladies ?\nLes traitements peuvent-ils arrêter la progression de la maladie ?\nLa physiothérapie est-elle recommandée ?\nY a-t-il des traitements expérimentaux ?\nLes traitements sont-ils personnalisés ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Maladies démyélinisantes", "description": "Quelles sont les complications possibles ?\nLes maladies démyélinisantes peuvent-elles entraîner des handicaps ?\nY a-t-il un risque accru d'infections ?\nLes complications peuvent-elles affecter la qualité de vie ?\nLes complications sont-elles réversibles ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Maladies démyélinisantes", "description": "Quels sont les principaux facteurs de risque ?\nLe stress peut-il aggraver la maladie ?\nY a-t-il un lien avec des maladies auto-immunes ?\nL'environnement joue-t-il un rôle ?\nLes antécédents d'infections influencent-ils le risque ?", "url": "https://questionsmedicales.fr/mesh/D003711?mesh_terms=Machine+Learning&page=999#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostique-t-on une maladie démyélinisante ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Le diagnostic repose sur l'examen neurologique, l'IRM et l'analyse du liquide céphalorachidien." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour confirmer le diagnostic ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les tests incluent l'IRM, l'électromyogramme et les potentiels évoqués." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils varier selon les patients ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes varient en fonction de la localisation des lésions et de la gravité." } }, { "@type": "Question", "name": "Quel rôle joue l'historique médical dans le diagnostic ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "L'historique médical aide à identifier des antécédents familiaux ou des symptômes similaires." } }, { "@type": "Question", "name": "Peut-on diagnostiquer une maladie démyélinisante par exclusion ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le diagnostic par exclusion est courant, éliminant d'autres causes de symptômes." } }, { "@type": "Question", "name": "Quels sont les symptômes courants des maladies démyélinisantes ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent fatigue, troubles de la vision, engourdissements et problèmes d'équilibre." } }, { "@type": "Question", "name": "La douleur est-elle un symptôme fréquent ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la douleur neuropathique est fréquente et peut être difficile à gérer." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils apparaître par poussées ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines maladies démyélinisantes, comme la sclérose en plaques, présentent des poussées." } }, { "@type": "Question", "name": "Y a-t-il des symptômes cognitifs associés ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des troubles de la mémoire et de la concentration peuvent survenir." } }, { "@type": "Question", "name": "Les symptômes sont-ils réversibles ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Certains symptômes peuvent s'améliorer avec le temps ou le traitement, mais pas tous." } }, { "@type": "Question", "name": "Peut-on prévenir les maladies démyélinisantes ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Il n'existe pas de méthode de prévention garantie, mais un mode de vie sain peut aider." } }, { "@type": "Question", "name": "Le tabagisme influence-t-il le risque ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le tabagisme est un facteur de risque connu pour certaines maladies démyélinisantes." } }, { "@type": "Question", "name": "L'alimentation joue-t-elle un rôle ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation équilibrée peut soutenir la santé neurologique, mais ne prévient pas directement." } }, { "@type": "Question", "name": "L'exercice physique est-il bénéfique ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exercice régulier peut améliorer la santé générale et la qualité de vie." } }, { "@type": "Question", "name": "Les vaccinations ont-elles un impact ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Certaines études suggèrent que les vaccinations peuvent réduire le risque de certaines maladies." } }, { "@type": "Question", "name": "Quels traitements sont disponibles pour ces maladies ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements incluent des médicaments immunomodulateurs, des corticostéroïdes et la rééducation." } }, { "@type": "Question", "name": "Les traitements peuvent-ils arrêter la progression de la maladie ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Certains traitements peuvent ralentir la progression, mais ne guérissent pas la maladie." } }, { "@type": "Question", "name": "La physiothérapie est-elle recommandée ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la physiothérapie aide à améliorer la mobilité et à gérer les symptômes." } }, { "@type": "Question", "name": "Y a-t-il des traitements expérimentaux ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des traitements expérimentaux, comme les thérapies géniques, sont en cours d'étude." } }, { "@type": "Question", "name": "Les traitements sont-ils personnalisés ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les traitements sont souvent adaptés en fonction des symptômes et de la progression." } }, { "@type": "Question", "name": "Quelles sont les complications possibles ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent des troubles de la mobilité, des problèmes cognitifs et des infections." } }, { "@type": "Question", "name": "Les maladies démyélinisantes peuvent-elles entraîner des handicaps ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent causer des handicaps physiques et cognitifs permanents." } }, { "@type": "Question", "name": "Y a-t-il un risque accru d'infections ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les patients peuvent avoir un risque accru d'infections en raison de l'immunosuppression." } }, { "@type": "Question", "name": "Les complications peuvent-elles affecter la qualité de vie ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les complications peuvent significativement réduire la qualité de vie des patients." } }, { "@type": "Question", "name": "Les complications sont-elles réversibles ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être gérées, mais d'autres peuvent être permanentes." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'âge, le sexe féminin, des antécédents familiaux et des infections virales." } }, { "@type": "Question", "name": "Le stress peut-il aggraver la maladie ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress peut exacerber les symptômes et affecter la progression de la maladie." } }, { "@type": "Question", "name": "Y a-t-il un lien avec des maladies auto-immunes ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les maladies démyélinisantes sont souvent associées à d'autres maladies auto-immunes." } }, { "@type": "Question", "name": "L'environnement joue-t-il un rôle ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des facteurs environnementaux comme l'exposition à certains agents peuvent augmenter le risque." } }, { "@type": "Question", "name": "Les antécédents d'infections influencent-ils le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines infections, comme le virus d'Epstein-Barr, sont liées à un risque accru." } } ] } ] }

Sources (10000 au total)

Development and validation of an interpretable machine learning model for predicting post-stroke epilepsy.

Epilepsy is a serious complication after an ischemic stroke. Although two studies have developed prediction model for post-stroke epilepsy (PSE), their accuracy remains insufficient, and their applica... Patients with ischemic stroke from two stroke centers were included in this retrospective cohort study. At the baseline level, 33 input variables were considered candidate features. The 2-year PSE pre... A total of 1977 patients were included to build the predictive model for PSE. The Boruta method identified NIHSS score, hospital length of stay, D-dimer level, and cortical involvement as the optimal ... Our study confirmed the feasibility of applying the ML method to use easy-to-obtain variables for accurate prediction of PSE and provided improved strategies and effective resource allocation for high...

A machine learning tool for identifying patients with newly diagnosed diabetes in primary care.

It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC).... A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on diagnost... The most important predictive factors were hypertension with NRI 21.4-29.7 %, and obesity 4.8-15.2 %. The NRI for other top ten diagnoses and administrative codes generally ranged 1.0-4.2 %.... Our data confirm the known risk patterns for predicting a new diagnosis of diabetes, and the need to test blood glucose frequently. To assess the full potential of ML for risk prediction purposes in c...

Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Current core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a lumbar puncture to be performed, ma... Mild-moderate AD patients were prospectively recruited for PSG, followed by testing of CSF and blood samples for biomarkers. PSG signals underwent preprocessing to extract non-linear, time domain and ... On 49 subjects, Gradient Boosting Regressors achieved the best results in estimating biomarkers levels, using different loss functions for each biomarker: least absolute deviation (LAD) for the A... Multimodal ML can help predict the outcome of CSF biomarkers in early AD by utilizing non-invasive and economically feasible variables. The integration of computational models into medical practice of...

Using machine learning to improve anaphylaxis case identification in medical claims data.

Anaphylaxis is a severe life-threatening allergic reaction, and its accurate identification in healthcare databases can harness the potential of "Big Data" for healthcare or public health purposes.... This study used claims data obtained between October 1, 2015 and February 28, 2019 from the CMS database to examine the utility of machine learning in identifying incident anaphylaxis cases. We create... Resulting machine learning model accuracies ranged from 47.7% to 94.4% when tested on ground truth data. Finally, we found new features to help experts enhance existing case-finding algorithms.... Developing precise algorithms to detect medical outcomes in claims can be a laborious and expensive process, particularly for conditions presented and coded diversely. We found it beneficial to filter... Our work suggests machine learning models can perform at similar levels as a previously published expert case-finding algorithm, while also having the potential to improve performance or streamline al...