Titre : Catéchine

Catéchine : Questions médicales fréquentes

Termes MeSH sélectionnés :

Pattern Recognition, Automated
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"position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Elles peuvent augmenter le métabolisme et favoriser la combustion des graisses." } }, { "@type": "Question", "name": "Les catéchines peuvent-elles interagir avec des médicaments ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent interagir avec certains médicaments, notamment les anticoagulants." } }, { "@type": "Question", "name": "Quels risques sont associés à une consommation excessive de catéchines ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Une consommation excessive peut entraîner des problèmes hépatiques ou des troubles digestifs." } }, { "@type": "Question", "name": "Qui devrait éviter les catéchines ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Les personnes ayant des problèmes hépatiques ou des allergies doivent être prudentes." } }, { "@type": "Question", "name": "Les femmes enceintes peuvent-elles consommer des catéchines ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Elles doivent consulter un médecin avant de consommer des catéchines en grande quantité." } } ] } ] }

Sources (10000 au total)

Pattern Recognition or Adnexal MR Scoring System: Which Is More Accurate in Evaluating Adnexal Lesions?

This study aims to compare the accuracy of the ADNEX MR scoring system and pattern recognition system to evaluate adnexal lesions indeterminate on the US exam.... In this cross-sectional retrospective study, pelvic DCE-MRI of 245 patients with 340 adnexal masses was studied based on the ADNEX MR scoring system and pattern recognition system.... ADNEX MR scoring system with a sensitivity of 96.6% and specificity of 91% has an accuracy of 92.9%. The pattern recognition system's sensitivity, specificity, and accuracy are 95.8%, 93.3%, and 94.7%... The pattern recognition system is less sensitive than the ADNEX MR scoring system, yet more specific....

A Unified User-Generic Framework for Myoelectric Pattern Recognition: Mix-Up and Adversarial Training for Domain Generalization and Adaptation.

To address cross-user variability problem in the myoelectric pattern recognition, a novel method for domain generalization and adaptation using both mix-up and adversarial training strategies, termed ... This method enables integration of domain generalization (DG) with unsupervised domain adaptation (UDA) into a unified framework. The DG process highlights user-generic information in the source domai... It yielded a high accuracy of 95.71±4.17% and outperformed other UDA methods significantly (p<0.05) under cross-user testing scenarios. Moreover, it reduced the number of calibration samples required ... The proposed method provides an effective and promising way of establishing cross-user myoelectric pattern recognition control systems.... Our work helps to promote development of user-generic myoelectric interfaces, with wide applications in motor control and health....