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نتیجه جستجو - Cross-sectional studies

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 The role of online social network chatting for alcohol use in adolescence: Testing three peer-related pathways in a Swedish population-based sample
نقش شبکه اجتماعی آنلاین چت برای استفاده از الکل در نوجوانی : تست سه راه مرتبط با همتایان در یک نمونه سوئدی مبتنی بر جمعیت-2017
The aim of the study was to examine whether online social network chatting (OSNC) is related to any of three peer-related pathways to alcohol use among adolescents including a stress-exposure pathway, a peer status pathway and a social context pathway. A survey was distributed to a Swedish population based sample of 2439 boys and girls 15e16 years old enrolled in the 9th grade of primary school. In direct effects, moderating effects, and gender differences were analysed. The results exposed a robust positive association between OSNC and alcohol use, but also that OSNC accounted for one-fifth of the association between the peer status pathway and alcohol use. A positive association between the stress exposure pathway and alcohol use was found that was weaker among adolescents who scored high on OSNC whereas a positive association between the social context pathway and alcohol use also was found that was stronger among adolescents who scored high on OSNC. Consequently, OSNC may contribute differently to alcohol use depending on which peer-related pathway that the adolescent follows. The robust positive association between OSNC and alcohol use that remained when the three peer-related pathways were accounted for also indicates that this association is accounted for by other factors.
Keywords: Internet | Adolescence | Alcohol drinking | Cross-sectional studies
مقاله انگلیسی
2 Implementation of a web based universal exchange and inference language for medicine: Sparse data, probabilities and inference in data mining of clinical data repositories
پیاده سازی تبادل جهانی و زبان استنتاج مبتنی بر وب برای پزشکی: اطلاعات پراکنده، احتمال و استنباط در داده کاوی از مخازن داده های بالینی-2015
We extend Q-UEL, our universal exchange language for interoperability and inference in healthcare and biomedicine, to the more traditional fields of public health surveys. These are the type associated with screening, epidemiological and cross-sectional studies, and cohort studies in some cases similar to clinical trials. There is the challenge that there is some degree of split between frequentist notions of probability as (a) classical measures based only on the idea of counting and proportion and on classical biostatistics as used in the above conservative disciplines, and (b) more subjectivist notions of uncertainty, belief, reliability, or confidence often used in automated inference and decision support systems. Samples in the above kind of public health survey are typically small compared with our earlier “Big Data” mining efforts. An issue addressed here is how much impact on decisions should sparse data have. We describe a new Q-UEL compatible toolkit including a data analytics application DiracMiner that also delivers more standard biostatistical results, DiracBuilder that uses its output to build Hyperbolic Dirac Nets (HDN) for decision support, and HDNcoherer that ensures that probabilities are mutually consistent. Use is exemplified by participating in a real word health-screening project, and also by deployment in a industrial platform called the BioIngine, a cognitive computing platform for health management.& 2015 Elsevier Ltd. All rights reserved.
Keywords: Universal exchange language | Dirac notation | Bayes | Watson | Electronic health record | Public health reporting | Probability theory | Zeta function | Cognitive computing
مقاله انگلیسی
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بازدید امروز: 12093 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 12093 :::::::: افراد آنلاین: 71