Titre : Syndromes parkinsoniens

Syndromes parkinsoniens : Questions médicales fréquentes

Termes MeSH sélectionnés :

Logistic Models
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"@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Syndromes parkinsoniens", "description": "Comment diagnostiquer un syndrome parkinsonien ?\nQuels tests sont utilisés pour le diagnostic ?\nQuels sont les critères de diagnostic ?\nPeut-on confondre avec d'autres maladies ?\nQuel rôle joue l'historique médical ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Syndromes parkinsoniens", "description": "Quels sont les symptômes moteurs principaux ?\nQuels symptômes non moteurs sont fréquents ?\nComment évoluent les symptômes ?\nY a-t-il des symptômes précoces ?\nLes symptômes affectent-ils la qualité de vie ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Syndromes parkinsoniens", "description": "Peut-on prévenir les syndromes parkinsoniens ?\nQuel rôle joue l'exercice physique ?\nL'alimentation influence-t-elle le risque ?\nY a-t-il des facteurs environnementaux à considérer ?\nLe stress a-t-il un impact ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Syndromes parkinsoniens", "description": "Quels sont les traitements médicamenteux ?\nLa chirurgie est-elle une option ?\nQuels sont les effets secondaires des médicaments ?\nY a-t-il des thérapies complémentaires ?\nComment gérer les symptômes non moteurs ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Syndromes parkinsoniens", "description": "Quelles sont les complications courantes ?\nComment les chutes affectent-elles les patients ?\nLes troubles cognitifs sont-ils fréquents ?\nQuelles sont les complications psychologiques ?\nComment gérer les complications ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Syndromes parkinsoniens", "description": "Quels sont les principaux facteurs de risque ?\nLe sexe influence-t-il le risque ?\nLes traumatismes crâniens sont-ils un facteur ?\nL'exposition professionnelle joue-t-elle un rôle ?\nY a-t-il des liens avec d'autres maladies ?", "url": "https://questionsmedicales.fr/mesh/D020734?mesh_terms=Logistic+Models&page=4#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer un syndrome parkinsonien ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Le diagnostic repose sur l'examen clinique et l'évaluation des symptômes moteurs et non moteurs." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour le diagnostic ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des tests d'imagerie comme l'IRM et des évaluations neuropsychologiques peuvent être réalisés." } }, { "@type": "Question", "name": "Quels sont les critères de diagnostic ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les critères incluent la bradykinésie, la rigidité et les tremblements au repos." } }, { "@type": "Question", "name": "Peut-on confondre avec d'autres maladies ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des maladies comme la maladie de Wilson ou des syndromes atypiques peuvent être confondues." } }, { "@type": "Question", "name": "Quel rôle joue l'historique médical ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "L'historique médical aide à identifier des facteurs de risque et des symptômes précurseurs." } }, { "@type": "Question", "name": "Quels sont les symptômes moteurs principaux ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes moteurs incluent la bradykinésie, la rigidité, et les tremblements." } }, { "@type": "Question", "name": "Quels symptômes non moteurs sont fréquents ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes non moteurs incluent la dépression, l'anxiété et les troubles du sommeil." } }, { "@type": "Question", "name": "Comment évoluent les symptômes ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes évoluent progressivement, souvent en s'aggravant avec le temps." } }, { "@type": "Question", "name": "Y a-t-il des symptômes précoces ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des symptômes comme la perte de l'odorat ou des troubles du sommeil peuvent apparaître tôt." } }, { "@type": "Question", "name": "Les symptômes affectent-ils la qualité de vie ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent considérablement réduire la qualité de vie des patients." } }, { "@type": "Question", "name": "Peut-on prévenir les syndromes parkinsoniens ?", "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": "Quel rôle joue l'exercice physique ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "L'exercice régulier peut améliorer la santé neurologique et retarder l'apparition des symptômes." } }, { "@type": "Question", "name": "L'alimentation influence-t-elle le risque ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation riche en antioxydants peut réduire le risque de développer la maladie." } }, { "@type": "Question", "name": "Y a-t-il des facteurs environnementaux à considérer ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exposition à certains pesticides et toxines peut augmenter le risque de Parkinson." } }, { "@type": "Question", "name": "Le stress a-t-il un impact ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Le stress chronique peut aggraver les symptômes et influencer la progression de la maladie." } }, { "@type": "Question", "name": "Quels sont les traitements médicamenteux ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements incluent la lévodopa, les agonistes de la dopamine et les inhibiteurs de la COMT." } }, { "@type": "Question", "name": "La chirurgie est-elle une option ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la stimulation cérébrale profonde peut être envisagée pour certains patients." } }, { "@type": "Question", "name": "Quels sont les effets secondaires des médicaments ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Les effets secondaires peuvent inclure des nausées, des vertiges et des mouvements involontaires." } }, { "@type": "Question", "name": "Y a-t-il des thérapies complémentaires ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la physiothérapie et l'ergothérapie peuvent aider à améliorer la fonction motrice." } }, { "@type": "Question", "name": "Comment gérer les symptômes non moteurs ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Des traitements psychologiques et des médicaments peuvent aider à gérer les symptômes non moteurs." } }, { "@type": "Question", "name": "Quelles sont les complications courantes ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent les chutes, les troubles de la déglutition et les infections." } }, { "@type": "Question", "name": "Comment les chutes affectent-elles les patients ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Les chutes peuvent entraîner des blessures graves, comme des fractures, et réduire l'autonomie." } }, { "@type": "Question", "name": "Les troubles cognitifs sont-ils fréquents ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, de nombreux patients développent des troubles cognitifs ou démence au cours de la maladie." } }, { "@type": "Question", "name": "Quelles sont les complications psychologiques ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Les patients peuvent souffrir de dépression, d'anxiété et d'isolement social." } }, { "@type": "Question", "name": "Comment gérer les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Une approche multidisciplinaire est essentielle pour gérer les complications efficacement." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'âge avancé, les antécédents familiaux et l'exposition à des toxines." } }, { "@type": "Question", "name": "Le sexe influence-t-il le risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les hommes sont généralement plus susceptibles de développer des syndromes parkinsoniens." } }, { "@type": "Question", "name": "Les traumatismes crâniens sont-ils un facteur ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des traumatismes crâniens répétés peuvent augmenter le risque de développer la maladie." } }, { "@type": "Question", "name": "L'exposition professionnelle joue-t-elle un rôle ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines professions exposant à des produits chimiques peuvent augmenter le risque." } }, { "@type": "Question", "name": "Y a-t-il des liens avec d'autres maladies ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Certaines maladies auto-immunes et métaboliques peuvent être associées à un risque accru." } } ] } ] }

Sources (10000 au total)

Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss.

To develop and validate models based on logistic regression and artificial intelligence for prognostic prediction of molar survival in periodontally affected patients.... Clinical and radiographic data from four different centres across four continents (two in Europe, one in the United States, and one in China) including 515 patients and 3157 molars were collected and ... The general performance in the external validation settings (aggregating three cohorts) revealed that the ensembled model, which combined neural network and logistic regression, showed the best perfor... Through a multi-centre collaboration, both prognostic models for the prediction of molar loss were developed and externally validated. The ensembled model showed the best performance in terms of both ...

Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm.

A predictive model was established based on logistic regression and XGBoost algorithm to investigate the factors related to postoperative hypocalcemia in patients with secondary hyperparathyroidism (S... A total of 60 SHPT patients who underwent parathyroidectomy (PTX) in our hospital were retrospectively enrolled. All patients were randomly divided into a training set (... Multivariate logistic regression analysis showed that body mass (OR = 1.203,... The predictive models based on the logistic regression and XGBoost algorithm model can predict the occurrence of postoperative SH....

Development and validation of medical record-based logistic regression and machine learning models to diagnose diabetic retinopathy.

Many factors were reported to be associated with diabetic retinopathy (DR); however, their contributions remained unclear. We aimed to evaluate the prognostic and diagnostic accuracy of logistic regre... This was a cross-sectional study. We investigated the prevalence and associations of DR among 757 participants aged 40 years or older in the 2005-2006 National Health and Nutrition Examination Survey ... Among the 757 participants, 53 (7.00%) subjects had DR, the mean (standard deviation, SD) age was 57.7 (13.04), and 78.0% were male (n = 42). Logistic regression revealed that female gender (OR = 4.13... This study highlights the utility of comparing traditional logistic regression to machine learning models. We found that logistic regression performed as well as optimized machine learning methods whe...

Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm.

The prediction model of bone marrow infiltration (BMI) in patients with malignant lymphoma (ML) was established based on the logistic regression and the XGBoost algorithm. The model's prediction effic... A total of 120 patients diagnosed with ML in the department of hematology from January 2018 to January 2021 were retrospectively selected. The training set (... The prediction algorithm model's top three essential characteristics are the blood platelet count, soluble interleukin-2 receptor, and non-Hodgkin's lymphoma. The area under the curve of the logistic ... The prediction model constructed in this study based on logistic regression and XGBoost algorithm has a good prediction model. The results showed that blood platelet count and soluble interleukin-2 re...

Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.

Automated whole brain segmentation from magnetic resonance images is of great interest for the development of clinically relevant volumetric markers for various neurological diseases. Although deep le... C-DEF and U-Net models were evaluated after training on manually curated data from 5, 10, and 15 participants in 2 research cohorts: (1) people living with clinically diagnosed HIV infection and (2) r... C-DEF produced better segmentation than U-Net in lesion (29.2%-38.9%) and cerebrospinal fluid (5.3%-11.9%) classes when trained with data from 15 or fewer participants. Unlike C-DEF, U-Net showed sign... These results demonstrate that classical machine learning methods can produce more accurate brain segmentation than the far more complex deep learning methods when only small or moderate amounts of tr...