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Zusammenfassung Die Telematikplattform definiert eine umfassende Infrastruktur zur Kommunikation von Gesundheitsdaten unter den verschiedenen Beteiligten des Gesundheitswesens. Die für 2006 geplante Einführung der elektronischen Gesundheitskarte und die damit verbundenen Begleitumstände werden allgemein als erster Schritt auf dem Weg zur Realisierung der Telematikplattform angesehen. Bereits in dieser wichtigen Anfangsphase werden entscheidende Weichen für künftige weitere Entwicklungen gestellt.  相似文献   
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The aim of this editorial is to introduce a Special Issue of the International Journal of Eating Disorders on “Advancing Assessment of, and Interventions for, Eating Disorders via Innovative Uses of Technology.” The 10 contributions to the Special Issue focus on the following main questions: (a) How can we optimize technology-enhanced interventions for eating disorders? (b) To what extent can technology help professionals to reach underserved populations? (c) How can innovative technology-enhanced tools improve assessment and treatment of eating disorders? The findings cumulatively suggest that technology can play a critical role in the detection and treatment of eating disorders, and may be used to enhance understanding of the etiology, maintenance, and course of these conditions. The contributions to this Special Issue have important implications for the conceptualization, design, and evaluation of technology-enhanced interventions as well as for the optimization of current assessment methods. Hopefully, they will stimulate future research in this quickly evolving field.  相似文献   
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Although young people are increasingly turning to the Internet for health-related information, very little is known about the state of their digital health literacy skills. At the beginning of an after-school program (HackHealth) to assist middle school students (ages 12–15) with their digital health literacy skills, a specially designed Digital Healthy Literacy Assessment Tool (DHLAT) was administered to 19 participants. Results suggest that while tweens are familiar with search engines and have a rudimentary sense of how to use them, they often lack important knowledge and skills needed to be fully digitally health literate. More research is needed to develop more broadly applicable tools for assessing tweens’ digital health literacy skills and to discover additional ways to work with youth to ensure they are equipped with the digital health literacy skills they need to successfully find, understand, assess, manage, and make use of online health information.  相似文献   
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目的 调查医学生电子健康素养及影响因素。方法 采用高校学生电子媒介健康素养量表,对山东省某医学院校775名医学生进行问卷调查。结果 医学生电子健康素养总分为(73.55±14.98)分,其中电子媒介健康获取能力、电子媒介健康评价能力、电子媒介健康实践能力维度得分分别为(26.74±5.79)、(29.15±6.43)、(17.66±4.48)分。多元线性回归分析结果显示,学习目的(B = 3.545,95%CI = 2.573~4.516)、助人行为(B = 4.259,95%CI = 2.591~5.927)、就医行为(B = 2.310,95%CI = 1.019~3.601)、运动情况(B = 3.239,95%CI = 1.810~4.668)、人际关系(B = 4.555,95%CI = 2.630~6.480)、吃早餐(B = 2.122,95%CI = 0.901~3.343)、身体健康状况(B = - 1.858,95%CI = - 3.158~- 0.558)是医学生电子健康素养的影响因素(均P<0.05)。结论 高等医学院校应引导医学生明确学习目的,培养其人文关怀和人际交往能力,养成吃早餐与体育运动等健康生活方式,引导医学生及时就医,避免吸烟等健康危害行为以提升电子健康素养,促进其医学综合能力和生命质量的提高。  相似文献   
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BackgroundGiven the pressure on modern healthcare systems, eHealth can offer valuable opportunities. However, understanding the potential and challenges of eHealth in daily practice can be challenging for many general practitioners (GPs) and their staff.ObjectivesTo critically appraise five widely used eHealth applications, in relation to safe, evidence-based and high-quality eHealth. Using these applications as examples, we aim to increase understanding of eHealth among GPs and highlight the opportunities and challenges presented by eHealth.DiscussioneHealth applications can support patients while increasing efficiency for GPs. A three-way division (inform, monitor, track; interaction; data utilisation) characterises many eHealth applications, with an increasing degree of complexity depending on the domain. All applications provide information and some have extra functionalities that promote interaction, while data analysis and artificial intelligence may be applied to support or (fully) automate care processes. Applications in the inform domain are relatively easy to use and implement but their impact on clinical outcomes may be limited. More demanding applications, in terms of privacy and ethical aspects, are found in the data utilisation domain and may potentially have a more significant impact on care processes and patient outcomes. When selecting and implementing eHealth applications, we recommend that GPs remain critical regarding preconditions on safe, evidence-based and high-quality eHealth, particularly in the case of more complex applications in the data utilisation domain.  相似文献   
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目的评价eHEALS汉化量表的信度和效度,并用该量表分析高中生电子健康素养的影响因素。方法将英文版“eHeahhLiteracyScale(eHEALS)”翻译为中文并进行修订;使用eHEALS汉化量表对110名高中生进行调查,利用EpiData3.02软件录入数据,SPSS13.0进行统计分析。结果eHEALS汉化量表的Cronbach’sd系数为0.913,因子分析载荷系数在0.692—0.869之间。eHEALS汉化量表总分平均值为(28.58±7.00)分,高中生电子健康素养水平在不同地域、母亲文化程度、健康态度和自评健康状况间均存在差异(P〈0.05)。结论eHEALS汉化量表具有较好的信效度。高中生在获取、应用网络健康信息与服务方面自我信心较为乐观。  相似文献   
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Background: Binge drinking is common among young people but often relevant risk factors are not recognized. eHealth apps, attractive for young people, may be useful to enhance awareness of this problem. We aimed at developing a current risk estimation model for binge drinking, incorporated into an eHealth app—D-ARIANNA (Digital-Alcohol RIsk Alertness Notifying Network for Adolescents and young adults)—for young people. Methods: A longitudinal approach with phase 1 (risk estimation), phase 2 (design), and phase 3 (feasibility) was followed. Risk/protective factors identified from the literature were used to develop a current risk estimation model for binge drinking. Relevant odds ratios were subsequently pooled through meta-analytic techniques with a random-effects model, deriving weighted estimates to be introduced in a final model. A set of questions, matching identified risk factors, were nested in a questionnaire and assessed for wording, content, and acceptability in focus groups involving 110 adolescents and young adults. Results: Ten risk factors (5 modifiable) and 2 protective factors showed significant associations with binge drinking and were included in the model. Their weighted coefficients ranged between ?0.71 (school proficiency) and 1.90 (cannabis use). The model, nested in an eHealth app questionnaire, provides in percent an overall current risk score, accompanied by appropriate images. Factors that mostly contribute are shown in summary messages. Minor changes have been realized after focus groups review. Most of the subjects (74%) regarded the eHealth app as helpful to assess binge drinking risk. Conclusions: We could produce an evidence-based eHealth app for young people, evaluating current risk for binge drinking. Its effectiveness will be tested in a large trial.  相似文献   
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