Titre : Prise de risque

Prise de risque : Questions médicales fréquentes

Termes MeSH sélectionnés :

Deep Learning
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prise de risque ?", "url": "https://questionsmedicales.fr/mesh/D012309?mesh_terms=Deep+Learning&page=998#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Prise de risque", "description": "Quels traitements sont disponibles pour la prise de risque ?\nLes médicaments peuvent-ils aider à réduire la prise de risque ?\nComment la thérapie peut-elle aider ?\nY a-t-il des programmes de prévention ?\nLa thérapie familiale est-elle utile ?", "url": "https://questionsmedicales.fr/mesh/D012309?mesh_terms=Deep+Learning&page=998#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Prise de risque", "description": "Quelles complications peuvent résulter de la prise de risque ?\nLa prise de risque peut-elle entraîner des problèmes de santé ?\nQuels sont les impacts sociaux de la prise de risque ?\nComment la prise de risque affecte-t-elle la vie professionnelle ?\nY a-t-il des conséquences 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"name": "Quels outils diagnostiques sont utilisés ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des échelles de mesure comme le Risk-Taking Questionnaire (RTQ) sont souvent utilisés." } }, { "@type": "Question", "name": "Quels signes cliniques indiquent une prise de risque ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Des comportements impulsifs, des décisions hâtives et une minimisation des dangers sont des signes." } }, { "@type": "Question", "name": "La prise de risque est-elle un trouble ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Non, c'est un comportement, mais elle peut être associée à des troubles comme le TDAH." } }, { "@type": "Question", "name": "Comment la prise de risque est-elle mesurée ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Elle est mesurée par des échelles standardisées et des auto-évaluations des comportements." } }, { "@type": "Question", "name": "Quels symptômes sont associés à la prise de risque ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent l'impulsivité, l'irritabilité et des comportements autodestructeurs." } }, { "@type": "Question", "name": "La prise de risque peut-elle causer des symptômes physiques ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress lié à des comportements risqués peut entraîner des symptômes physiques comme des maux de tête." } }, { "@type": "Question", "name": "Comment la prise de risque affecte-t-elle la santé mentale ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Elle peut exacerber des troubles comme l'anxiété et la dépression en raison des conséquences." } }, { "@type": "Question", "name": "Y a-t-il des signes de prise de risque chez les adolescents ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des comportements comme la consommation de drogues ou la conduite imprudente sont fréquents." } }, { "@type": "Question", "name": "Quels comportements sont considérés comme des symptômes de prise de risque ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des comportements comme la consommation excessive d'alcool ou la conduite dangereuse sont des symptômes." } }, { "@type": "Question", "name": "Comment prévenir la prise de risque chez les jeunes ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "L'éducation sur les conséquences et le développement de compétences sociales sont essentiels." } }, { "@type": "Question", "name": "Quels rôles jouent les parents dans la prévention ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Les parents doivent communiquer ouvertement et établir des règles claires pour guider leurs enfants." } }, { "@type": "Question", "name": "Les programmes scolaires peuvent-ils aider ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des programmes de sensibilisation et de formation sur la prise de risque sont bénéfiques." } }, { "@type": "Question", "name": "Quelles activités peuvent réduire la prise de risque ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Des activités sportives et artistiques peuvent offrir des alternatives positives aux jeunes." } }, { "@type": "Question", "name": "Comment les pairs influencent-ils la prise de risque ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Les pairs peuvent encourager ou dissuader des comportements à risque, selon le groupe." } }, { "@type": "Question", "name": "Quels traitements sont disponibles pour la prise de risque ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les thérapies cognitivo-comportementales et la thérapie de groupe sont efficaces." } }, { "@type": "Question", "name": "Les médicaments peuvent-ils aider à réduire la prise de risque ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains médicaments comme les stabilisateurs de l'humeur peuvent être prescrits." } }, { "@type": "Question", "name": "Comment la thérapie peut-elle aider ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "La thérapie aide à identifier les déclencheurs et à développer des stratégies d'adaptation." } }, { "@type": "Question", "name": "Y a-t-il des programmes de prévention ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des programmes éducatifs ciblent les jeunes pour réduire les comportements à risque." } }, { "@type": "Question", "name": "La thérapie familiale est-elle utile ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle peut améliorer la communication et réduire les comportements à risque chez les adolescents." } }, { "@type": "Question", "name": "Quelles complications peuvent résulter de la prise de risque ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent des blessures physiques, des problèmes juridiques et des troubles mentaux." } }, { "@type": "Question", "name": "La prise de risque peut-elle entraîner des problèmes de santé ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle peut causer des maladies chroniques, des addictions et des troubles de santé mentale." } }, { "@type": "Question", "name": "Quels sont les impacts sociaux de la prise de risque ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Elle peut entraîner l'isolement social, des conflits familiaux et des problèmes relationnels." } }, { "@type": "Question", "name": "Comment la prise de risque affecte-t-elle la vie professionnelle ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Elle peut entraîner des absences, des conflits au travail et une baisse de productivité." } }, { "@type": "Question", "name": "Y a-t-il des conséquences financières liées à la prise de risque ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des dépenses médicales et des pertes de revenus peuvent survenir à cause de comportements risqués." } }, { "@type": "Question", "name": "Quels facteurs augmentent la prise de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Des facteurs comme l'âge, le sexe, l'environnement social et des antécédents familiaux influencent la prise de risque." } }, { "@type": "Question", "name": "Le stress est-il un facteur de risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress peut augmenter la propension à prendre des risques en raison de l'impulsivité." } }, { "@type": "Question", "name": "Les troubles mentaux influencent-ils la prise de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des troubles comme le TDAH et la dépression sont souvent associés à des comportements à risque." } }, { "@type": "Question", "name": "L'alcool joue-t-il un rôle dans la prise de risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la consommation d'alcool peut diminuer les inhibitions et augmenter les comportements risqués." } }, { "@type": "Question", "name": "Les influences culturelles affectent-elles la prise de risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines cultures valorisent des comportements à risque, influençant les décisions individuelles." } } ] } ] }

Sources (10000 au total)

TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR-peptide binding.

Predicting TCR-peptide binding is a complex and significant computational problem in systems immunology. During the past decade, a series of computational methods have been developed for better predic... In this study, we developed TCRcost, a deep learning method, to predict TCR-peptide binding by incorporating 3D structures. TCRcost overcomes two significant challenges: acquiring a sufficient number ... Test results demonstrated that predicting TCR-peptide binding from 3D TCR structures is both efficient and highly accurate with an average accuracy of 0.974 on precise structures. Furthermore, the ave... Thus, utilizing structural information of TCR-peptide complexes is a promising approach to improve the accuracy of binding predictions....

Deep Learning-Based Synthetic CT for Low Field Brain MR-Guided Radiation Therapy.

MR-guided Radiation Therapy (MRgRT) enables online adaptation to address intra- and inter-fractional changes. To address the need of high-fidelity synthetic CT (synCT) required for dose calculation, w... Simulation MR-CT pairs from twelve glioma patients imaged with a head and neck surface coil and treated on a 0.35T MR-linac were prospectively included to train the model consisting of a 9-block resid... Our model generated high-quality synCTs with MAE, PSNR and SSIM of 70.9±10.4 HU, 28.4±1.5 d.B. and 0.87±0.02 within the field-of-view, respectively. Underrepresented post-surgical anomalies challenged... Our cGAN model generated high-fidelity brain synCTs from low-field MRI with excellent dosimetric performance. Secondary validation suggests great promise of implementing synCTs to facilitate robust do...

Mortality Risk Assessment Using Deep Learning-Based Frequency Analysis of EEG and EOG in Sleep.

To assess whether the frequency content of electroencephalography (EEG) and electrooculography (EOG) during nocturnal polysomnography (PSG) can predict all-cause mortality.... Power spectra from PSGs of 8,716 participants, included from the MrOS Sleep Study and the Sleep Heart Health Study (SHHS), were analyzed in deep learning-based survival models. The best-performing mod... Survival analyses, adjusted for known covariates, identified multiple EEG frequency bands across all sleep stages predicting all-cause mortality. For EEG, we found an all-cause mortality hazard ratio ... Spectral power features, possibly reflecting abnormal sleep microstructure, are associated with mortality risk. These findings add to a growing literature suggesting that sleep contains incipient pred...

Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy.

We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmentation confidence on a per-voxel basis without gold standard segmentations, enabling robust, efficient review o... Thirty-two retrospectives, MRI planned, glioma cases were randomly selected from a local clinical cohort for ACo training. A generator was trained adversarialy to produce internal autosegmentations (I... ACo showed generally excellent performance on both internal and external segmentations, across all OARs (except lenses). MCC was higher on IAS and low-quality external segmentations (EM-LQ) than high-... ACo was a reliable predictor of uncertainty and errors on AS generated both internally and externally, demonstrating its potential as an independent, reference-free QA tool, which could help operators...

Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT is Associated with FEV

Quantifying functional small airways disease (fSAD) requires additional expiratory computed tomography (CT) scan, limiting clinical applicability. Artificial intelligence (AI) could enable fSAD quanti... To evaluate an AI model for estimating fSAD... We analyzed 2513 participants from the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS). Using a subset (... Inspiratory fSAD... Inspiratory fSAD... This work was supported by NHLBI grants R01 HL142625, U01 HL089897 and U01 HL089856, by NIH contract 75N92023D00011, and by a grant from The Roy J. Carver Charitable Trust (19-5154). The COPDGene stud...

Comparing Deep Learning Performance for Chronic Lymphocytic Leukaemia Cell Segmentation in Brightfield Microscopy Images.

This article focuses on the detection of cells in low-contrast brightfield microscopy images; in our case, it is chronic lymphocytic leukaemia cells. The automatic detection of cells from brightfield ... We compared eight state-of-the-art neural network architectures with different backbone encoders for image data segmentation, namely U-net, U-net++, the Pyramid Attention Network, the Multi-Attention ... The optimal combination for semantic segmentation was the U-net++ architecture with a ResNeSt-269 background with a data set intersection over a union score of 0.8902. For the cell characteristics exa... We found that overall, the algorithms demonstrate equal agreement with ground truth, but with the comparison, it can be seen that the different approaches prefer different morphological features of th...