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"name": "Qu'est-ce qu'un diagnostic infirmier ?",
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"text": "C'est une évaluation des réponses d'un patient à des problèmes de santé."
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"@type": "Question",
"name": "Comment établir un diagnostic infirmier ?",
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"text": "Il repose sur l'analyse des données cliniques et des signes observés."
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"@type": "Question",
"name": "Quels sont les types de diagnostics infirmiers ?",
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"text": "Ils incluent les diagnostics réels, à risque et de promotion de la santé."
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"name": "Quelle est l'importance du diagnostic infirmier ?",
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"text": "Il guide la planification des soins et améliore les résultats pour le patient."
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"name": "Qui peut établir un diagnostic infirmier ?",
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"name": "Quels symptômes indiquent un diagnostic infirmier ?",
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"name": "Comment identifier les symptômes d'un patient ?",
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"name": "Les symptômes sont-ils toujours visibles ?",
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"name": "Les vaccinations font-elles partie de la prévention ?",
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"name": "Comment évaluer les besoins en prévention ?",
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"name": "La prévention est-elle un processus continu ?",
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"position": 16,
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"text": "Les traitements incluent des interventions infirmières et des soins médicaux."
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"@type": "Question",
"name": "Comment choisir un traitement approprié ?",
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"@type": "Question",
"name": "Les traitements sont-ils standardisés ?",
"position": 18,
"acceptedAnswer": {
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"@type": "Question",
"name": "Quel rôle joue l'infirmier dans le traitement ?",
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"@type": "Question",
"name": "Comment évaluer l'efficacité d'un traitement ?",
"position": 20,
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"@type": "Question",
"name": "Quelles sont les complications possibles d'un diagnostic infirmier ?",
"position": 21,
"acceptedAnswer": {
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"text": "Elles peuvent inclure des infections, des complications respiratoires, etc."
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"@type": "Question",
"name": "Comment prévenir les complications ?",
"position": 22,
"acceptedAnswer": {
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"text": "Par une surveillance étroite et des interventions appropriées."
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"@type": "Question",
"name": "Les complications sont-elles toujours évitables ?",
"position": 23,
"acceptedAnswer": {
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"text": "Non, certaines complications peuvent survenir malgré des soins appropriés."
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"@type": "Question",
"name": "Quel est l'impact des complications sur le patient ?",
"position": 24,
"acceptedAnswer": {
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"text": "Elles peuvent prolonger l'hospitalisation et affecter la qualité de vie."
}
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{
"@type": "Question",
"name": "Comment gérer les complications ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Par des interventions médicales et un suivi rigoureux des patients."
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{
"@type": "Question",
"name": "Quels sont les facteurs de risque courants ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Ils incluent l'âge, les antécédents familiaux et les habitudes de vie."
}
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"@type": "Question",
"name": "Comment identifier les facteurs de risque ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Par l'évaluation des antécédents médicaux et des comportements du patient."
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"@type": "Question",
"name": "Les facteurs de risque peuvent-ils être modifiés ?",
"position": 28,
"acceptedAnswer": {
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"text": "Oui, certains facteurs comme le tabagisme peuvent être modifiés par des interventions."
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"position": 29,
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"@type": "Question",
"name": "Les facteurs de risque sont-ils les mêmes pour tous ?",
"position": 30,
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Surgeons are at high risk for developing musculoskeletal symptoms (MSS), like neck and back pain. Quantitative analysis of 3D neck and trunk movements during surgery can help to develop preventive dev...
Muscle fatigue is a risk factor for developing musculoskeletal disorders during low-load repetitive tasks. The objective of this study was to assess the effect of muscle fatigue on power spectrum chan...
Shared decision making (SDM) is an interactive process that involves patients and their healthcare professionals reaching joint decisions about medical care through negotiation. As the initiators of m...
Tonal and speech token auditory oddball tasks have been commonly used to assess auditory processing in various populations; however, tasks using non-word sounds may fail to capture the higher-level ab...
Physicians who treat patients with lower limb diseases should pay attention not only to the patients' clinical condition but also to their individual needs and expectations. For this purpose, many dif...
The LLTQ, LLFI, and LLFI-10 were translated into Polish. A total of 103 patients who qualified for hip or knee arthroplasty at a University Hospital in from 2019 to 2021 were included in this study. T...
The Polish versions of the LLTQ, LLFI, and LLFI-10 had good psychometric properties. One year after surgery, the Cohen's standard response mean revealed high improvement of limb functionality and thus...
The questionnaires were validated and can be used both in everyday health practice and in further research in Poland....
It can be difficult to differentiate psychiatric disorders from depressive states, with little knowledge on how to differentiate them. This study aimed to evaluate changes in brain activity during cog...
Sixty-two patients with depressive states [17 with adjustment disorder (AD), 27 with major depressive disorder (MDD), and 18 with bipolar disorder (BD)] and 34 healthy controls (HC) were recruited. We...
During the VFT, patients with AD or MDD showed significantly reduced activation in the bilateral frontotemporal region (all p < 0.01), whereas patients with BD demonstrated significantly reduced activ...
All study patients were taking psychotropic drugs....
Brain activation in response to a combination of cognitive or emotional stimuli could assist in distinguishing patients with depressive states from healthy controls....
Mild cognitive impairment (MCI) is an early stage of cognitive decline which could develop into dementia. An early detection of MCI is a crucial step for timely prevention and intervention. Recent stu...
We recruited 918 subjects from King Chulalongkorn Memorial Hospital (651 healthy subjects and 267 MCI patients). We propose a novel deep learning framework that incorporates data from the CDT, cube-co...
Rather than using a single CDT image in the baseline VGG16 model, using multiple drawing tasks as inputs into our proposed model with soft label significantly improves the classification performance b...
Our model achieves better classification performance at detecting MCI compared to the baseline model. In addition, the model provides visual explanations that are superior to those of the baseline mod...
We aimed to reduce the complexity of the 52-channel functional near-infrared spectroscopy (fNIRS) system to facilitate its usage in discriminating schizophrenia during a verbal fluency task (VFT)....
Oxygenated hemoglobin signals obtained using 52-channel fNIRS from 100 patients with schizophrenia and 100 healthy controls during a VFT were collected and processed. Three features frequently used in...
GA and GA-dominant algorithms achieved higher accuracy compared to PSO and PSO-dominant algorithms. An optimal accuracy of 87.00% using 16 channels was obtained by GA and wavelet analysis. A parallel ...
The fNIRS system can be greatly simplified while retaining accuracy comparable to that of the 52-channel system, thus promoting its applications in the diagnosis of schizophrenia in low-resource envir...
Modelling and predicting individual differences in task-fMRI activity can have a wide range of applications from basic to clinical neuroscience. It has been shown that models based on resting-state ac...
Being strangled, or "choked," by a sexual partner has emerged as a prevalent, often wanted and consensual sexual behavior among adolescent and young adult women, yet the neurological consequences of r...