Titre : Taux de reproduction de base

Taux de reproduction de base : Questions médicales fréquentes

Termes MeSH sélectionnés :

Natural Language Processing
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les symptômes chez les groupes vulnérables ?", "url": "https://questionsmedicales.fr/mesh/D050936?mesh_terms=Natural+Language+Processing&page=3#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Taux de reproduction de base", "description": "Comment réduire le R0 dans une épidémie ?\nLe port du masque influence-t-il le R0 ?\nLes campagnes de sensibilisation affectent-elles le R0 ?\nLe R0 peut-il être contrôlé par la vaccination ?\nLes mesures de quarantaine influencent-elles le R0 ?", "url": "https://questionsmedicales.fr/mesh/D050936?mesh_terms=Natural+Language+Processing&page=3#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Taux de reproduction de base", "description": "Le R0 influence-t-il les options de traitement ?\nComment le R0 affecte-t-il la recherche de traitements ?\nLes traitements varient-ils selon le R0 ?\nLe R0 impacte-t-il la disponibilité des traitements ?\nLes traitements préventifs dépendent-ils du R0 ?", "url": "https://questionsmedicales.fr/mesh/D050936?mesh_terms=Natural+Language+Processing&page=3#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Taux de reproduction de base", "description": "Un R0 élevé entraîne-t-il des complications ?\nQuelles complications sont liées à un R0 élevé ?\nLe R0 affecte-t-il les complications à long terme ?\nLes complications varient-elles selon le R0 ?\nComment le R0 influence-t-il les soins post-infection ?", "url": "https://questionsmedicales.fr/mesh/D050936?mesh_terms=Natural+Language+Processing&page=3#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Taux de reproduction de base", "description": "Quels facteurs augmentent le R0 ?\nLes conditions de santé influencent-elles le R0 ?\nLe climat affecte-t-il le R0 ?\nLes voyages internationaux influencent-ils le R0 ?\nLes interventions de santé publique peuvent-elles réduire le R0 ?", "url": "https://questionsmedicales.fr/mesh/D050936?mesh_terms=Natural+Language+Processing&page=3#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment évaluer le taux de reproduction de base ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Le R0 est estimé par des modèles épidémiologiques basés sur les données de transmission." } }, { "@type": "Question", "name": "Quels outils sont utilisés pour calculer le R0 ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des outils statistiques et des simulations informatiques sont utilisés pour le calcul." } }, { "@type": "Question", "name": "Le R0 peut-il varier selon les épidémies ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le R0 varie selon le pathogène, la population et les conditions environnementales." } }, { "@type": "Question", "name": "Quelles données sont nécessaires pour le calcul du R0 ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les données sur les taux d'infection, la durée de contagiosité et la population sont essentielles." } }, { "@type": "Question", "name": "Le R0 est-il constant dans le temps ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Non, le R0 peut changer avec les interventions de santé publique et l'immunité de la population." } }, { "@type": "Question", "name": "Quels symptômes sont liés à un R0 élevé ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé peut entraîner une propagation rapide, augmentant les cas symptomatiques." } }, { "@type": "Question", "name": "Le R0 influence-t-il la gravité des symptômes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Le R0 ne détermine pas la gravité, mais une transmission rapide peut saturer les systèmes de santé." } }, { "@type": "Question", "name": "Les symptômes varient-ils selon le R0 ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Non, les symptômes dépendent du pathogène, pas directement du R0." } }, { "@type": "Question", "name": "Comment le R0 affecte-t-il la détection des symptômes ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé peut rendre difficile la détection précoce des symptômes dans une épidémie." } }, { "@type": "Question", "name": "Le R0 a-t-il un impact sur les symptômes chez les groupes vulnérables ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les groupes vulnérables peuvent présenter des symptômes plus graves avec un R0 élevé." } }, { "@type": "Question", "name": "Comment réduire le R0 dans une épidémie ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Des mesures comme la distanciation sociale et la vaccination peuvent réduire le R0." } }, { "@type": "Question", "name": "Le port du masque influence-t-il le R0 ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le port du masque peut réduire la transmission et donc le R0." } }, { "@type": "Question", "name": "Les campagnes de sensibilisation affectent-elles le R0 ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent améliorer les comportements préventifs et réduire le R0." } }, { "@type": "Question", "name": "Le R0 peut-il être contrôlé par la vaccination ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une couverture vaccinale élevée peut réduire le R0 et contrôler l'épidémie." } }, { "@type": "Question", "name": "Les mesures de quarantaine influencent-elles le R0 ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la quarantaine peut limiter la propagation et réduire le R0." } }, { "@type": "Question", "name": "Le R0 influence-t-il les options de traitement ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé peut nécessiter des traitements plus agressifs pour contrôler l'épidémie." } }, { "@type": "Question", "name": "Comment le R0 affecte-t-il la recherche de traitements ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé stimule la recherche rapide de traitements et de vaccins efficaces." } }, { "@type": "Question", "name": "Les traitements varient-ils selon le R0 ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les traitements peuvent être adaptés en fonction de la transmissibilité du pathogène." } }, { "@type": "Question", "name": "Le R0 impacte-t-il la disponibilité des traitements ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé peut entraîner une demande accrue, rendant les traitements moins disponibles." } }, { "@type": "Question", "name": "Les traitements préventifs dépendent-ils du R0 ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le R0 guide les stratégies de traitement préventif pour limiter la propagation." } }, { "@type": "Question", "name": "Un R0 élevé entraîne-t-il des complications ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Oui, un R0 élevé peut saturer les systèmes de santé, entraînant des complications." } }, { "@type": "Question", "name": "Quelles complications sont liées à un R0 élevé ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Les complications peuvent inclure des hospitalisations massives et des décès accrus." } }, { "@type": "Question", "name": "Le R0 affecte-t-il les complications à long terme ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une transmission rapide peut augmenter le risque de complications à long terme." } }, { "@type": "Question", "name": "Les complications varient-elles selon le R0 ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les complications peuvent varier selon le pathogène et le R0 associé." } }, { "@type": "Question", "name": "Comment le R0 influence-t-il les soins post-infection ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Un R0 élevé peut nécessiter des soins post-infection plus intensifs en raison des complications." } }, { "@type": "Question", "name": "Quels facteurs augmentent le R0 ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "La densité de population, les comportements sociaux et la mobilité augmentent le R0." } }, { "@type": "Question", "name": "Les conditions de santé influencent-elles le R0 ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les conditions de santé préexistantes peuvent augmenter le R0 en rendant les individus plus susceptibles." } }, { "@type": "Question", "name": "Le climat affecte-t-il le R0 ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains pathogènes sont plus transmissibles dans des conditions climatiques spécifiques." } }, { "@type": "Question", "name": "Les voyages internationaux influencent-ils le R0 ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les voyages peuvent introduire des pathogènes et augmenter le R0 dans de nouvelles régions." } }, { "@type": "Question", "name": "Les interventions de santé publique peuvent-elles réduire le R0 ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des interventions ciblées peuvent réduire le R0 en limitant la transmission." } } ] } ] }

Sources (10000 au total)

Enhancing Pressure Injury Surveillance Using Natural Language Processing.

This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events.... We have established a natural language processing-assisted manual review process and workflow for data extraction from a corpus of nursing notes across all medical inpatient and intensive care units i... Our initial corpus involved 70,981 notes during a 1-year period from 5484 unique admissions for 4220 patients. Our interrater human reviewer agreement on identifying HAPI was high ( κ = 0.67; 95% conf... Natural language processing-based surveillance is proven to be feasible and high yield using nursing handoff notes....

Identification of Preanesthetic History Elements by a Natural Language Processing Engine.

Methods that can automate, support, and streamline the preanesthesia evaluation process may improve resource utilization and efficiency. Natural language processing (NLP) involves the extraction of re... For each patient, we collected all pertinent notes from the institution's electronic medical record that were available no later than 1 day before their preoperative anesthesia clinic appointment. Per... A total of 93 patients were included in the NLP pipeline input. Free-text notes were extracted from the electronic medical record of these patients for a total of 9765 notes. The NLP pipeline and anes... In this proof-of-concept study, we demonstrated that utilization of NLP produced an output that identified medical conditions relevant to preanesthetic evaluation from unstructured free-text input. Au...

MedLexSp - a medical lexicon for Spanish medical natural language processing.

Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, le... This article describes an unified medical lexicon for Medical Natural Language Processing in Spanish. MedLexSp includes terms and inflected word forms with PoS information and Unified Medical Language... The lexicon is distributed in a delimiter-separated value file; an XML file with the Lexical Markup Framework; a lemmatizer module for the Spacy and Stanza libraries; and complementary Lexical Record ...

The use of natural language processing in palliative care research: A scoping review.

Natural language processing has been increasingly used in palliative care research over the last 5 years for its versatility and accuracy.... To evaluate and characterize natural language processing use in palliative care research, including the most commonly used natural language processing software and computational methods, data sources,... A scoping review using the framework by Arksey and O'Malley and the updated recommendations proposed by Levac et al. was conducted.... PubMed, Web of Science, Embase, Scopus, and IEEE Xplore databases were searched for palliative care studies that utilized natural language processing tools. Data on study characteristics and natural l... 197 relevant references were identified. Of these, 82 were included after full-text review. Studies were published in 48 different journals from 2007 to 2022. The average sample size was 21,541 (media... We found 82 papers on palliative care using natural language processing methods for a wide-range of topics and sources of data that could expand the use of this methodology. We encourage researchers t...

A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome.

The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship be... We conduct a literature search on PubMed, Scopus and Web of Science for scientific articles published between 2011 and 2021. We use both quantitative and qualitative methods to screen papers and provi... Overall, 6420 articles were screened for the suitability of this review, where we review 37 articles in depth. Finally, we discuss future avenues of research and outline challenges in existing work.... Our results show that (i) there has been an increase in articles published that focus on applying NLP to exposure and epidemiology research, (ii) most work uses existing NLP tools and (iii) traditiona...

Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke.

Abstraction of critical data from unstructured radiologic reports using natural language processing (NLP) is a powerful tool to automate the detection of important clinical features and enhance resear... We trained machine learning classifiers to identify categorical outcomes of edema, midline shift (MLS), hemorrhagic transformation, and parenchymal hematoma, as well as rule-based systems (RBS) to ide... In all data sets, a deep neural network with pretrained biomedical word embeddings (BioClinicalBERT) achieved the highest discrimination performance for binary prediction of edema (area under precisio... Our study demonstrates robust performance and external validity of a core NLP tool kit for identifying both categorical and continuous outcomes of ischemic stroke from unstructured radiographic text d...

Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions.

To establish whether or not a natural language processing technique could identify two common inpatient neurosurgical comorbidities using only text reports of inpatient head imaging.... A training and testing dataset of reports of 979 CT or MRI scans of the brain for patients admitted to the neurosurgery service of a single hospital in June 2021 or to the Emergency Department between... For "brain compression", a random forest classifier outperformed other candidate algorithms with an accuracy of 0.81 and area under the curve of 0.90 in the testing dataset. For "brain edema", a rando... A natural language processing-based machine learning algorithm can reliably and reproducibly identify selected common neurosurgical comorbidities from radiology reports.... This result may justify the use of machine learning-based decision support to augment provider documentation....