Titre : Journaux alimentaires

Journaux alimentaires : Questions médicales fréquentes

Termes MeSH sélectionnés :

Support Vector Machine
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"Question", "name": "Quels outils pour analyser un journal alimentaire ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Utiliser des logiciels de nutrition ou des applications mobiles dédiées." } }, { "@type": "Question", "name": "Quand utiliser un journal alimentaire ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Lors de l'évaluation des habitudes alimentaires ou pour des études cliniques." } }, { "@type": "Question", "name": "Qui peut bénéficier d'un journal alimentaire ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les diététiciens, les médecins et les patients souhaitant améliorer leur nutrition." } }, { "@type": "Question", "name": "Quel est l'objectif principal d'un journal alimentaire ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Identifier les comportements alimentaires et les besoins nutritionnels." } }, { "@type": "Question", "name": "Quels symptômes peuvent indiquer une mauvaise alimentation ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Fatigue, prise de poids, carences nutritionnelles, troubles digestifs." } }, { "@type": "Question", "name": "Comment un journal alimentaire aide-t-il à identifier des symptômes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Il permet de relier les aliments consommés aux symptômes ressentis." } }, { "@type": "Question", "name": "Quels signes de carence nutritionnelle surveiller ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Perte de cheveux, peau sèche, faiblesse musculaire, troubles de l'humeur." } }, { "@type": "Question", "name": "Les allergies alimentaires peuvent-elles être détectées ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, en notant les aliments consommés et les réactions associées." } }, { "@type": "Question", "name": "Quels symptômes psychologiques peuvent être liés à l'alimentation ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Anxiété, dépression, troubles de l'image corporelle, irritabilité." } }, { "@type": "Question", "name": "Comment un journal alimentaire contribue-t-il à la prévention ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Il aide à identifier les comportements alimentaires à risque et à les corriger." } }, { "@type": "Question", "name": "Quels conseils pour un journal alimentaire efficace ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Soyez précis, notez tout, et revoyez régulièrement vos entrées." } }, { "@type": "Question", "name": "Peut-on prévenir des maladies avec un journal alimentaire ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, en adoptant des habitudes alimentaires saines et équilibrées." } }, { "@type": "Question", "name": "Quel est l'impact d'un journal alimentaire sur la santé publique ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Il peut aider à réduire les maladies liées à l'alimentation dans la population." } }, { "@type": "Question", "name": "Comment sensibiliser à l'importance des journaux alimentaires ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Par des campagnes d'éducation sur la nutrition et la santé." } }, { "@type": "Question", "name": "Comment un journal alimentaire aide-t-il dans un traitement ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Il permet de suivre les progrès et d'ajuster les recommandations diététiques." } }, { "@type": "Question", "name": "Quels traitements peuvent nécessiter un journal alimentaire ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les régimes pour la perte de poids, le diabète ou les allergies alimentaires." } }, { "@type": "Question", "name": "Les diététiciens utilisent-ils des journaux alimentaires ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, pour personnaliser les plans alimentaires et suivre les résultats." } }, { "@type": "Question", "name": "Comment un journal alimentaire aide-t-il à la gestion du poids ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Il permet de prendre conscience des portions et des choix alimentaires." } }, { "@type": "Question", "name": "Quel rôle joue un journal alimentaire dans la rééducation nutritionnelle ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Il aide à identifier les habitudes à changer pour une meilleure santé." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir d'une mauvaise alimentation ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Obésité, diabète, maladies cardiovasculaires, carences nutritionnelles." } }, { "@type": "Question", "name": "Comment un journal alimentaire peut-il prévenir des complications ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "En identifiant les habitudes alimentaires nuisibles et en les modifiant." } }, { "@type": "Question", "name": "Les troubles alimentaires peuvent-ils être détectés par un journal ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, en notant des comportements alimentaires extrêmes ou irréguliers." } }, { "@type": "Question", "name": "Quels risques de santé sont liés à une alimentation déséquilibrée ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Risque accru de maladies chroniques et de troubles métaboliques." } }, { "@type": "Question", "name": "Comment les journaux alimentaires aident-ils à gérer les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Ils permettent de suivre les effets des changements alimentaires sur la santé." } }, { "@type": "Question", "name": "Quels facteurs de risque sont liés à une mauvaise alimentation ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Sédentarité, stress, accès limité à des aliments sains, habitudes culturelles." } }, { "@type": "Question", "name": "Comment un journal alimentaire aide-t-il à identifier les facteurs de risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "En analysant les choix alimentaires et les contextes de consommation." } }, { "@type": "Question", "name": "Les facteurs socio-économiques influencent-ils l'alimentation ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le revenu et l'éducation affectent l'accès à des aliments sains." } }, { "@type": "Question", "name": "Quels rôles jouent les habitudes familiales dans l'alimentation ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Elles influencent les choix alimentaires et les comportements des individus." } }, { "@type": "Question", "name": "Comment les croyances culturelles affectent-elles l'alimentation ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Elles déterminent les types d'aliments consommés et les pratiques alimentaires." } } ] } ] }

Sources (10000 au total)

Machine learning and deep learning models for the diagnosis of apical periodontitis: a scoping review.

To assess the existing literature on the use of machine learning (ML) and deep learning (DL) models for diagnosing apical periodontitis (AP) in humans.... A scoping review was conducted following the Arksey and O'Malley framework. The PubMed, SCOPUS, and Web of Science databases were searched, focusing on articles using ML/DL approaches for AP diagnosis... Nineteen publications focused on diagnosing AP by identifying periapical radiolucent lesions (PRLs) in dental radiographs were included. The average sensitivity and specificity for reviewed models wer... Findings affirm AI models' effectiveness and transformative potential in diagnosing AP by improving the accurate detection of periapical radiolucencies using dental radiographs. However, the lack of s... AI can potentially improve diagnostic accuracy in AP diagnosis by enhancing the sensitivity of PRL detection in dental radiographs without compromising specificity....

Machine learning localization to identify the epileptogenic side in mesial temporal lobe epilepsy.

Mesial temporal sclerosis (MTS) is the most common pathology associated with drug-resistant mesial temporal lobe epilepsy (mTLE) in adults. Most atrophic hippocampi can be identified using MRI based o... This study included 104 patients diagnosed with mTLE, including 55 with lesions on the right side and 49 with lesions on the left side. FreeSurfer software was used to extract features from high-resol... The proposed ML model demonstrated exceptional performance in the lateralization of mTLE, achieving test accuracy of 92.38 % with an AUROC of 0.97.... This study demonstrated the efficacy of ML in detecting instances of MTS from thin-slice T1 images. The proposed method provides valuable insights for surgical planning and treatment. Nonetheless, add...

Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity.

This study aimed to develop and validate machine learning models (MLMs) to diagnose Alzheimer's disease (AD) using cortical complexity indicated by fractal dimension (FD).... A total of 296 participants with normal cognitive (NC) function and 182 with AD from the AD Neuroimaging Initiative database were randomly divided into training and internal validation cohorts. Then, ... The FDs from 30 out of 69 regions showed significant alteration. All MLMs were conducted based on the 30 significantly different FDs. The FD model had good accuracy in predicting AD in three cohorts [... The FD model showed favorable diagnostic performance for AD. Among MLMs, the MoCA + FD model can predict AD with the highest efficiency and could be used as a non-invasive diagnostic method....

Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.

To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of spontaneous intracerebral hemorrhage (ICH).... CT images and clinical data from 141 ICH patients from 2010 to 2022 were collected. The cohort comprised primary (n = 57), tumorous (n = 46), and vascular malformation-related ICH (n = 38). Radiomics ... The proposed method achieved an accuracy of 0.79. For identifying primary ICH, the model achieved a sensitivity of 0.86 and specificity of 0.87. Meanwhile, the sensitivity and specificity for identify... The use of a machine learning model with radiomics features has the potential in classifying the three types of non-traumatic ICH. It may help the radiologist decide on an appropriate further examinat...

Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.

Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervi... This study analyzed the 2021 Medical Expenditure Panel Survey and used a k-mode cluster analysis. Patient features analyzed were adherence to a select set of preventive measures from the ADA Standards... The study included 1,219 patients with self-reported diabetes, and the adherence rate to the ADA standards was 33.72%. Five distinct clusters emerged: (A) moderate-complexity, privately insured male; ... Pharmacists can target publicly insured elderly (Groups B and E) and privately insured middle-aged females (Group C) for interventions. For instance, pharmacists may help patients in Groups B and E lo...